APPENDIX 2

STAGE 3 (CUBE) HANDOUTS AND LECTURE MATERIALS

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lem

s by

look

ing

at y

our

data

in a

way

that

is

quic

kly

unde

rsto

od a

nd e

asily

sha

red:

•M

ap W

here

Thi

ngs

Are

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ap Q

uant

itie

sM

Dit

i•

Map

Den

siti

es•

Find

Wha

t's In

side

•Fi

nd W

hat's

Nea

rby

•M

ap C

hang

e

Inte

grat

e G

IS a

nd T

rans

port

atio

n P

lann

ing

•T

rans

port

atio

n pr

ofes

sion

als

over

the

wor

ld h

ave

disc

over

ed a

nd e

mbr

aced

GIS

as

an im

port

ant

tool

in:

•M

anag

ing

•Pl

anni

ngE

lti

•Ev

alua

ting

•M

aint

aini

ng t

rans

port

atio

n sy

stem

s

•G

IS fo

r T

rans

port

atio

n, n

amed

GIS

-T b

y th

e A

mer

ican

Ass

ocia

tion

of S

tate

Hig

hway

and

T

rans

port

atio

nO

ffici

als,

has

been

used

for

Tra

nspo

rtat

ion

Offi

cial

s,ha

sbe

enus

edfo

rdi

vers

e pu

rpos

es, s

uch

as:

•M

odel

ing

trav

el d

eman

d•

Impr

ovin

g tr

ansi

t se

rvic

e•

Eval

uati

ng n

ew r

oad

sche

me

A2-32

Inte

grat

e G

IS a

nd T

rans

port

atio

n P

lann

ing

•In

ord

er to

pre

dict

cha

nges

to

trav

el d

eman

d, w

e bu

ild

mod

els

•M

ain

Inpu

ts:

•D

ata/

chan

ges

in

gde

mog

raph

ics

•Ec

onom

ic d

evel

opm

ent

•So

cial

dev

elop

men

t•

Polic

ies

Inte

grat

e G

IS a

nd T

rans

port

atio

n P

lann

ing

•C

hang

es to

trav

el d

eman

d:•

Alte

rnat

ive

deve

lopm

ents

•la

nd u

se (G

IS)

•tri

p pr

oduc

tion

(GIS

)•

trip

dist

ribut

ion

(GIS

)

•Al

tern

ativ

e po

licie

s•

Alte

rnat

ive

solu

tion

s fo

r:•

roa

ds (

GIS

)•

publ

ic tr

ans

port

netw

orks

(GIS

)

A2-33

Inte

grat

e G

IS a

nd T

rans

port

atio

n P

lann

ing

•P

lann

ing:

•

need

to

acco

mm

odat

e de

man

d on

pub

lic

infr

astr

uctu

re /

res

pons

ibili

ty

to p

rese

rve

qual

ity

of li

fe a

nd

envi

ronm

enta

l sus

tain

abili

ty•

GIS

pro

vide

s a

fram

ewor

k to

in

form

mod

els

•Sh

ed li

ght

on t

he v

ario

us

tran

spor

t al

tern

ativ

es

Inte

grat

e G

IS a

nd T

rans

port

atio

n P

lann

ing

•W

hat –

If ?

anal

yses

:•

Plan

ners

dev

elop

alt

erna

tive

so

luti

ons

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odel

s us

ed f

or t

esti

ng t

he

alte

rnat

ive

solu

tion

s•

Wha

t if

we

choo

se s

olut

ion

A?•

How

muc

h be

tter

is A

co

mpa

red

to B

, C

and

D?

A2-34

Inte

grat

e G

IS a

nd T

rans

port

atio

n P

lann

ing

•W

hat W

e D

o W

ith G

IS•

Wha

t We

Do

With

Cub

e•

Auth

orin

g &

edi

ting

ge

ogra

phic

dat

a•

Man

agin

g sp

atia

l dat

abas

es•

Anal

yzin

g &

mod

elin

g sp

atia

l re

lati

onsh

i ps

•D

evel

opin

g m

odel

s of

tr

ansp

orta

tion

sys

tem

s•

Dev

elop

ing

inpu

t dat

a•

Des

igni

ng p

roce

sses

•W

ritin

g sc

ripts

p•

Basi

c m

appi

ng &

car

togr

aphy

•Ap

plyi

ng e

xist

ing

mod

els

to

anal

yze

scen

ario

s•

Editi

ng in

put d

ata

•Ru

nnin

g a

ltern

ativ

es•

Vie

win

g re

sults

Inte

grat

e G

IS a

nd T

rans

port

atio

n P

lann

ing

Pla

nnin

g

Fin

ance

Mod

elin

gG

ISR

esea

rch

A2-35

Inte

grat

e G

IS a

nd T

rans

port

atio

n P

lann

ing

oAr

cGIS

Des

ktop

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cVie

w�

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dito

r

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icro

soft

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ice

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cess

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cel

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be B

ase

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raph

ics

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plic

atio

nM

anag

erA

rcM

apA

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talo

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rcTo

olbo

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cEdi

tor

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cInf

o�

ArcP

ublis

her/

ArcR

eade

ro

Serv

er G

IS (

repl

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Arc

SDE)

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cGIS

Ser

ver

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cGIS

Imag

e Se

rver

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cIM

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eb d

eliv

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oG

eoda

taba

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ter p

rise

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ero

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al S

tudi

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plic

atio

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anag

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ager

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oyag

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ster

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venu

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Inte

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lann

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odel

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pera

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earc

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A2-36

Inte

grat

e G

IS a

nd T

rans

port

atio

n P

lann

ing

•P

lann

ing

Age

ncie

s de

velo

p lo

ng-r

ange

pla

ns

unde

r fis

cal c

onst

rain

t

•M

aint

ain

a da

taba

se o

f pro

ject

s w

ith d

escr

iptio

n,

impl

emen

tatio

n ye

ar, f

undi

ng s

ourc

e, a

nd to

tal

cost

•W

ant t

o m

ap s

yste

m a

ltern

ativ

es b

y ye

ar a

nd

gene

rate

rep

orts

rel

atin

g pe

rfor

man

ce to

cos

t

•A

dd “

Pro

ject

net

wor

k” w

ith n

ode,

link

cha

nges

an

d co

mm

on P

roje

ctID

j_

•A

lso

add

Cor

ridor

_ID

and

rel

ate

to fe

atur

e cl

ass

to ta

bula

te/m

ap b

y sy

stem

seg

men

t

Inte

grat

e G

IS a

nd T

rans

port

atio

n P

lann

ing

A2-37

Inte

grat

e G

IS a

nd T

rans

port

atio

n P

lann

ing

•C

onsu

ltant

s ar

e ch

arge

d w

ith fo

reca

stin

g re

venu

es fo

r fin

anci

al p

lann

ing

& a

naly

sis

•S

tudi

es c

an b

e da

ta-in

tens

ive

and

com

plex

•O

rigi

n-de

stin

atio

n su

rvey

s•

Traf

fic

coun

ts b

y ti

me

of d

ay,

day

of w

eek,

mon

th o

f ye

ar•

Spee

d an

d de

lay

stud

ies

(GPS

dat

a co

llect

ion)

•In

depe

nden

t so

cio-

econ

omic

dat

a co

mpi

lati

on &

rev

iew

•M

any

alte

rnat

ive

toll

conf

igur

atio

ns &

rat

es

•A

dd a

Sta

tion_

ID fi

eld

to r

elat

e da

ta c

olle

ctio

n si

tes

to n

etw

ork

links

/ sy

stem

seg

men

ts

•S

tore

toll

syst

em (

plaz

as/g

ates

/sec

tions

) in

geo

data

base

to

stre

amlin

e re

venu

e ta

bula

tions

Inte

grat

e G

IS a

nd T

rans

port

atio

n P

lann

ing

A2-38

Inte

grat

e G

IS a

nd T

rans

port

atio

n P

lann

ing

•A

dver

se e

ffect

s of

tran

spor

tatio

n pr

ojec

ts o

n ot

her

syst

ems

(air,

wat

er, e

colo

gica

l, so

cial

) m

ust b

e id

entif

ied

and

addr

esse

d

•M

any

disp

arat

e is

sues

and

them

es m

ust b

e re

late

d to

tr

ansp

orta

tion

proj

ect o

f int

eres

t

•U

se g

eoda

taba

se to

ena

ble

expl

orat

ory

anal

ysis

of

inte

ract

ions

bet

wee

n di

ffere

nt s

yste

ms

•Ae

rial

and

sat

ellit

e im

ager

y (r

aste

r da

ta)

•N

atur

al r

esou

rce

inve

ntor

ies

(wet

land

s, h

abit

ats,

pro

tect

ed)

•H

isto

rica

l lan

dmar

k pl

aces

•So

cial

ly a

nd e

cono

mic

ally

dis

adva

ntag

ed a

reas

•H

ealt

h an

d sa

fety

haz

ards

•Ai

r qu

alit

y m

odel

out

puts

Inte

grat

e G

IS a

nd T

rans

port

atio

n P

lann

ing

•G

eopr

oces

sing

: ho

w y

ouco

mpu

te w

ith d

ata,

con

nect

ing

data

to

tool

s to

der

ive

new

info

rmat

ion

•G

IS b

ased

sys

tem

s:•

They

sto

re a

nd m

anag

eda

ta.

•Th

ey le

t yo

uvi

sual

ize

data

in a

var

iety

of

way

s.•

They

mak

e it

eas

y to

com

pute

wit

h da

ta

A2-39

Inte

grat

e G

IS a

nd T

rans

port

atio

n P

lann

ing

•F

or a

ll us

ers

–bo

th n

ewbi

esan

d “o

ld p

ros”

•W

rang

ling

herd

s of

dat

a fr

om o

ne f

orm

at t

o an

othe

r•

Usi

ng a

seq

uenc

e of

ope

rati

ons

to m

odel

and

ana

lyze

com

plex

spa

tial

re

lati

onsh

ips

•A

typi

cal g

eopr

oces

sing

tool

per

form

s an

ope

ratio

n on

an

GIS

da

tase

t(su

chas

afe

atur

ecl

ass

rast

eror

tabl

e)an

dda

tase

t(su

chas

afe

atur

ecl

ass,

rast

er,o

rta

ble)

and

prod

uces

a n

ew d

atas

et a

s th

e re

sult

of th

e to

ol.

•E

ach

geop

roce

ssin

g to

ol p

erfo

rms

a sm

all y

et e

ssen

tial

oper

atio

n on

geo

grap

hic

data

. Arc

GIS

incl

udes

hun

dred

s of

su

ch g

eopr

oces

sing

tool

s.

Inte

grat

e G

IS a

nd T

rans

port

atio

n P

lann

ing

•B

uffe

r

•C

lip -

Ext

ract

s in

put f

eatu

res

that

ove

rlay

the

clip

feat

ures

•In

ters

ect -

Com

pute

s a

geom

etric

inte

rsec

tion

of th

e In

put F

eatu

res.

Fea

ture

s or

por

tions

of f

eatu

res

whi

ch o

verla

p in

all

laye

rs a

nd/o

r fe

atur

e cl

asse

s w

ill

be w

ritte

n to

the

Out

put F

eatu

re C

lass

.

•U

nion

-C

ompu

tes

a ge

omet

ric in

ters

ectio

n of

the

Inpu

t Fea

ture

s. A

ll fe

atur

es

will

be

writ

ten

to th

e O

utpu

t Fea

ture

Cla

ss w

ith th

e at

trib

utes

from

the

Inpu

t F

eatu

res

whi

ch it

ove

rlaps

.

A2-40

Inte

grat

e G

IS a

nd T

rans

port

atio

n P

lann

ing

•W

e ca

n us

e ge

opro

cess

ing

in tr

ansp

iratio

n pl

anni

ng in

an

alys

is s

uch

as:

•Bu

ffer

—U

se t

he b

uffe

r to

ol t

o ca

lcul

ate

prox

imit

y to

sto

p no

des/

park

ing

area

s/tr

ansi

t lin

es…

•M

ulti

Rin

g Bu

ffer

—U

se t

he m

ulti

-rin

g bu

ffer

too

l to

calc

ulat

e pr

oxim

ity

rang

es.

rang

es.

•Cl

ip —

Use

the

clip

too

l to

extr

act

feat

ures

or

part

s of

fea

ture

s fr

om a

fe

atur

e cl

ass,

suc

h as

res

iden

t po

pula

tion

in a

ran

ge o

f a

spec

ific

buf

fer

•In

ters

ect

—U

se t

he in

ters

ect

tool

for

ove

rlay

ana

lysi

s of

fea

ture

cla

sses

. •

Uni

on —

Use

the

uni

on t

ool f

or o

verl

ay a

naly

sis

of f

eatu

re c

lass

es.

•M

ulti

toSi

ngle

Part

—U

seth

em

ulti

tosi

ngle

part

tool

toco

nver

ta

•M

ulti

to

Sing

le P

art

Use

the

mul

ti t

o si

ngle

par

t to

ol t

o co

nver

t a

mul

tipa

rt f

eatu

re c

lass

into

a s

ingl

e-pa

rt f

eatu

re c

lass

sup

port

ed b

y Cu

be B

ase.

Cub

e: r

eal m

odel

s, r

eal G

IS

•A

t the

cor

e of

the

GIS

is a

n em

bedd

ed v

ersi

on o

f ES

RI’s

m

arke

tlea

ding

Arc

GIS

, kno

wn

as A

rcG

ISE

ngin

e.

•C

itila

bs d

evel

oped

a s

peci

aliz

edap

plic

atio

n of

this

tech

nolo

gy

for

tran

spor

tatio

n m

odel

ing

by a

ddin

g tr

ansp

orta

tion

topo

logy

ru

les

fully

exp

loite

d w

ithin

its

geod

atab

ase,

and

a la

rge

num

ber

of tr

ansp

orta

tion-

spec

ific

editi

ng a

nd a

naly

sis

tool

s.

•T

heG

IS in

Cub

e is

an

extr

emel

y po

wer

ful t

rans

port

atio

n G

IS

syst

em th

at is

dire

ctly

com

plia

nt w

ith E

SR

I tec

hnol

ogie

s an

d pr

ovid

es m

any

of A

rcG

IS’s

capa

bilit

ies,

for

exam

ple,

on-

the

fly

jti

proj

ectio

ns.

A2-41

1

Intro

duct

ion

to T

rans

porta

tion

Pla

nnin

g

1

llf

ld

fid

l

Wha

t is

trans

port

plan

ning

?

�al

lus

eful

proc

esse

sto

defin

ean

dan

alyz

epr

ojec

tsce

nario

s�

defin

ition

ofst

rate

gies

and

inte

rven

tion

polic

ies

�di

rect

ing

the

trans

port

syst

emto

war

dsop

timum

conf

igur

atio

ns

Trav

el

Cos

ts

Dem

and

Mod

elS

uppl

y M

odel

optim

umco

nfig

urat

ions

�Al

way

sre

mem

ber

that

,no

mat

ter

the

effo

rtsw

epu

tin

oura

naly

sis:

�A

ll fo

reca

sts

are

wro

ng, s

ome

fore

cast

s ar

e m

ore

wro

ng th

an o

ther

s.

Mod

elM

odel

g�

All

fore

cast

s ar

e w

rong

, som

e fo

reca

sts

are

usef

ul.

Sour

ce: T

rans

port

Mod

els:

TA

G U

nit 3

.1.2

. D

epar

tmen

t for

Tra

nspo

rt, J

une

2005

A2-42

2

Wha

t doe

s tra

nspo

rt pl

anni

ng a

im a

t?

Dfi

ih

h/

ii

llf

l�

Def

inin

g w

heth

er a

sys

tem

/ser

vice

is a

ctua

lly u

sefu

l�

Qua

ntify

ing

the

poss

ible

num

ber o

f use

rs�

Dim

ensi

onin

g th

e se

rvic

e�

Cho

osin

g th

e tra

nspo

rt sy

stem

-ex

ampl

es:

�by

road

: bui

ldin

g a

road

: inf

rast

ruct

ure,

toll,

mai

nten

ance

�P

ublic

Tra

nspo

rt by

road

: bus

es m

anag

emen

t: ve

hicl

es, p

erso

nnel

, mai

nten

ance

�P

ublic

Tra

nspo

rt by

rail:

infra

stru

ctur

e, fa

re, v

ehic

les,

man

agem

ent,

mai

nten

ance

�D

efin

ing

the

rout

e or

line

s�

Def

inin

g se

rvic

e le

vels

�nu

mbe

r of l

anes

�ty

pe�

type

�st

ops

�tim

etab

le�

frequ

ency

�nu

mbe

r of v

ehic

les

Wha

t doe

s tra

nspo

rt pl

anni

ng a

im a

t?

dfi

i�

defin

ing

cost

s�

build

ing

cost

s or

initi

al in

vest

men

t�

year

ly m

anag

emen

t cos

ts�

recu

rren

t mod

erni

zatio

n co

sts

�de

finin

g re

venu

es�

reve

nues

from

fare

s(ti

cket

s,ca

rpar

ks,…

)re

venu

es fr

om fa

res

(tick

ets,

car

par

ks, …

)�

othe

r rev

enue

s (a

dver

tisin

g, …

)�

fund

ing

�co

ntrib

utio

ns

A2-43

3

Who

ben

efits

from

tran

spor

t pla

nnin

g?

Pb

lii

ii

�P

ub

lic

insti

tuti

on

s

�M

unic

ipal

ities

�U

rban

Tra

ffic

Pla

ns/M

obili

ty P

lans

�A

naly

sis

of tr

affic

for s

peci

al in

terv

entio

ns, e

x.�

shop

ping

cen

ters

, tra

ffic

rest

rictio

n in

his

toric

cen

ters

, PT

serv

ices

, etc

.�

park

ing

plan

s fo

r his

toric

cen

ters

�sp

ecia

lser

vice

spl

ans

exin

tour

istic

area

s�

spec

ial s

ervi

ces

plan

s, e

x. in

tour

istic

are

as�

Pro

vinc

es, r

egio

ns�

Tran

spor

t Reg

iona

l Pla

n�

Via

bilit

y R

egio

nal P

lan

�Fe

asib

ility

stu

dies

�A

naly

sis

of th

e tra

nspo

rt de

man

d�

Min

istri

es�

Tran

spor

t and

Log

istic

s G

ener

al P

lan

�R

oad

Saf

ety

Nat

iona

l Pla

n

Who

ben

efits

from

tran

spor

t pla

nnin

g?

Pi

Pb

liO

�P

rivate

or

Pu

blic

Op

era

tors

�in

frast

ruct

ures

ow

ners

or m

anag

ing

com

pani

es (s

uch

as m

otor

way

con

cess

iona

ires)

�fe

asib

ility

stu

dies

�te

chni

cal/e

cono

mic

ana

lysi

s of

a n

ew in

frast

ruct

ure

�P

ublic

Tra

nspo

rt op

erat

ors

�A

naly

sis

of th

e tra

nspo

rt de

man

dte

chni

cal/e

cono

mic

anal

sis

ofa

nese

ric

e�

tech

nica

l/eco

nom

ic a

naly

sis

of a

new

ser

vice

�To

uris

t boa

rds,

…�

feas

ibili

ty o

f ded

icat

ed tr

ansp

ort s

ervi

ces

�tra

ding

ope

rato

rs, t

our o

pera

tors

, etc

.�

tech

nica

l/eco

nom

ic a

naly

sis

of d

edic

ated

ser

vice

s�

anal

ysis

of t

raffi

c re

quire

d by

inst

itutio

ns (e

x. s

hopp

ing

cent

res,

tour

ist p

arks

, mul

tiple

x ci

nem

as,

etc.

)�

links

with

sta

tions

/airp

orts

and

tour

ist d

estin

atio

ns

A2-44

4

Who

car

ries

out t

rans

port

plan

ning

?

Thi

ii

hi

id

dil

�Th

e in

stitu

tion

who

is in

tere

sted

dire

ctly

�S

peci

aliz

ed c

onsu

lting

offi

ces

�S

peci

aliz

ed in

stitu

tions

�O

pera

tors

who

are

dire

ctly

inte

rest

ed

Car

ryin

g ou

t a tr

ansp

ort s

yste

m

Pl

i�

Pla

nnin

g�

quan

tific

atio

n of

traf

fic fl

ows

on th

e ne

twor

k�

anal

ysis

of a

ltern

ativ

e so

lutio

ns�

feas

ibili

ty a

naly

sis

�dr

awin

g up

of o

utlin

e pl

ans

�D

imen

sion

ing

Dim

ensi

onin

g�

defin

ition

of p

roje

ct s

peci

ficat

ions

�D

esig

n�

draw

ing

up o

f the

exe

cutiv

e pl

an

�C

ontra

ct, c

onst

ruct

ion

�ca

rryi

ng o

ut a

nd im

plem

enta

tion

of th

e sy

stem

A2-45

5

The

plan

ning

pro

cedu

re

Ph

1A

li

fh

ii

�P

hase

1 -

Ana

lysi

s of

the

curre

nt s

ituat

ion

�de

limita

tion

of th

e pl

an a

nd s

tudy

are

as�

zoni

ng o

f the

are

as�

anal

ysis

of t

he p

hysi

cal,

geol

ogic

al a

nd g

eote

chni

cal e

nviro

nmen

t of t

he p

lan

area

�su

rvey

of t

he re

gion

al p

lann

ing

�su

rvey

of t

he tr

ansp

ort i

nfra

stru

ctur

es a

nd s

ervi

ces

offe

red

�an

alys

is o

f the

soc

io-e

cono

mic

pla

nnin

g�

estim

ate

of th

e m

obili

ty d

eman

d fo

r pas

seng

ers

and

good

s�

imp

ort

an

ce o

f re

lati

on

s b

etw

een

pla

ces o

f o

rig

in a

nd

desti

nati

on

s

�im

po

rtan

ce o

f re

lati

on

s a

cco

rdin

g t

o m

ean

s o

f tr

an

sp

ort

, re

aso

n, ti

me s

pan

�im

po

rtan

ce o

f tr

aff

ic f

low

s o

n t

ran

sp

ort

netw

ork

s,

imp

ort

an

ce o

f cri

tical ele

men

ts

The

plan

ning

pro

cedu

re

Ph

2D

fiii

fii

i�

Pha

se 2

-D

efin

ition

of i

nter

vent

ion

scen

ario

s�

defin

ition

of t

he fu

ture

tend

ency

soc

io-e

cono

mic

pla

nnin

g�

repr

esen

tatio

n of

the

futu

re tr

ansp

ort d

eman

d w

ith n

o in

terv

entio

ns�

sim

ulat

ion

of th

e no

n-in

terv

entio

n pl

anni

ng a

nd d

efin

ition

of c

ritic

al e

lem

ents

�de

finiti

on o

f obj

ectiv

es a

nd re

stra

ints

�de

finiti

on o

f int

erve

ntio

n st

rate

gies

�de

sign

of p

roje

ct a

ltern

ativ

es o

f int

erve

ntio

n –

inte

rven

tion

scen

ario

s�

estim

ate

of im

plem

enta

tion

cost

s fo

r int

erve

ntio

n sc

enar

ios

�es

timat

e of

the

reso

urce

s av

aila

ble

A2-46

6

The

plan

ning

pro

cedu

re -

Scen

ari

os

Ci

�C

urr

en

t scen

ari

o

�cu

rren

t pla

nnin

g of

the

trans

port-

terri

tory

sys

tem

(T-T

) �

load

con

ditio

ns o

f net

wor

ks

�N

on

-in

terv

en

tio

n s

cen

ari

o (

Zero

Scen

ari

o)

�Fu

ture

pla

nnin

g of

the

T-T

syst

em w

ith n

o in

terv

entio

ns�

effe

ctof

the

tend

entia

levo

lutio

nof

:ter

ritor

y,ac

tivity

®de

man

def

fect

of t

he te

nden

tiale

volu

tion

of: t

errit

ory,

act

ivity

® d

eman

d�

effe

ct o

f int

erve

ntio

ns o

n th

e sy

stem

�In

terv

en

tio

n S

cen

ari

o

�fu

ture

pla

nnin

g of

the

T-T

syst

em a

fter p

lan

alte

rnat

ives

�pr

escr

iptiv

e an

d or

gani

zatio

nal m

odifi

catio

ns, n

ew in

frast

ruct

ures

The

plan

ning

pro

cedu

re

Ph

3S

il

ifi

id

li

fh

iff

�P

hase

3 -

Sim

ulat

ion

of in

terv

entio

ns a

nd e

valu

atio

n of

thei

r effe

cts

�si

mul

atio

n of

the

seve

ral i

nter

vent

ion

alte

rnat

ives

�in

tera

ctio

n de

man

d-of

fer

�fu

nctio

nal e

valu

atio

n of

effe

cts

on m

odal

net

wor

ks�

econ

omic

-fina

ncia

l eva

luat

ion

–an

alys

is o

f cos

ts a

nd b

enef

its�

eval

uatio

n of

the

effe

cts

on e

nviro

nmen

t and

con

sum

ptio

n of

reso

urce

s�

eval

uatio

n of

the

effe

cts

on b

usin

ess

and

empl

oym

ent

�ev

alua

tion

of th

e ef

fect

s on

saf

ety

�co

mpa

rison

bet

wee

n pr

ojec

t alte

rnat

ives

�de

finiti

on o

f prio

ritie

s

A2-47

7

The

plan

ning

pro

cedu

re

Ph

4C

ifi

i�

Pha

se 4

–C

arry

ing

out o

f int

erve

ntio

ns�

Pre

scrip

tive

leve

l�

fulfi

llmen

t of a

dmin

istra

tive

and

deci

sion

al p

roce

dure

s, c

ompa

rison

of i

nter

este

d pa

rts�

appr

oval

by

exec

utiv

e br

anch

es: M

inis

tries

, Cou

ncil

of M

inis

ters

, loc

al c

ounc

ils�

appr

oval

by

legi

slat

ive

bran

ches

: Par

liam

ent,

Reg

iona

l, P

rovi

ncia

l, M

unic

ipal

Cou

ncils

�In

frast

ruct

ural

leve

lfin

alpr

ojec

t�

final

pro

ject

�im

pact

eva

luat

ions

�ex

ecut

ive

proj

ect

�co

ntra

ct, s

ite s

ettin

g up

, con

stru

ctio

n, te

sts

�O

rgan

izat

iona

l lev

el�

defin

ition

of p

rices

and

fare

s�

defin

ition

of m

aint

enan

ce p

lans

�im

plem

enta

tion

of u

ser i

nfor

mat

ion

serv

ices

�…

The

plan

ning

pro

cedu

re

Ph

5S

fff

�P

hase

5 –

Sur

vey

of e

ffect

s�

Sur

vey

of in

terv

entio

n ef

fect

iven

ess

�Im

prov

emen

t of t

he p

lan

proc

ess

�re

calib

ratio

n an

d va

lidat

ion

of s

imul

atio

n m

odel

s�

com

paris

on b

etw

een

expe

ctat

ions

and

real

cha

nges

of t

he s

yste

m�

eval

uatio

n of

the

deci

sion

-mak

ing

proc

ess

Ch

ti

tift

hi

tt

ltth

tt

t�

Cha

ract

eris

tics

of th

e en

viro

nmen

t ext

erna

l to

the

trans

port

syst

em�

Cha

ract

eris

tics

of th

e tra

nspo

rt of

fer

�C

hara

cter

istic

s of

the

mob

ility

dem

and

�Q

ualit

y of

the

bala

nce

dem

and/

offe

r

A2-48

8

The

plan

ning

pro

cedu

re

Ph

6D

fiii

fi

ii

�P

hase

6 –

Def

initi

on o

f cor

rect

ive

inte

rven

tions

�ev

alua

tion

of p

ossi

ble

prob

lem

s du

ring

the

deci

sion

-mak

ing

proc

ess

�ev

alua

tion

of s

ocia

l agr

eem

ent a

nd/o

r dis

agre

emen

t phe

nom

ena

�in

volv

emen

t of t

he p

arts

in th

e de

cisi

on-m

akin

g pr

oces

s�

read

just

men

t of c

ontra

stin

g ne

eds

of p

lann

ers,

dec

isio

n m

aker

s, c

olle

ctiv

ity�

mod

ifica

tion

of e

lem

ents

in th

e pl

anni

ng it

erat

ive

proc

ess

�re

defin

ition

of o

bjec

tives

, res

train

ts, t

ype

of in

terv

entio

n�

rede

finiti

on o

f int

erve

ntio

ns

Bas

ic c

once

pts

in m

odel

dev

elop

men

t

�W

ede

fine

a“m

odel

”as

ase

tof

data

and

proc

esse

sth

atre

pres

ent

are

al-w

orld

syst

eman

dde

scrib

eits

beha

vior

unde

ral

tern

ativ

eci

rcum

stan

ces.

�Th

isis

dist

inct

from

the

softw

are

used

toTh

isis

dist

inct

from

the

softw

are

used

toim

plem

enta

mod

el,e

.g.C

ube

Voy

ager

.

�M

odel

sar

eap

plie

dto

anal

ysis

offu

ture

cond

ition

sto

crea

tefo

reca

sts.

Wh

li

dli

il

16

�W

hen

appl

ying

a m

odel

it is

alw

ays

impo

rtant

to u

se c

omm

on s

ense

and

ex

erci

se a

ppro

pria

te ju

dgm

ent i

n in

terp

retin

g re

sults

.

A2-49

9

Gen

eral

Fra

mew

ork

of T

rans

port

Mod

ellin

g

�R

oots

intra

nspo

rtatio

nec

onom

ics

and

theo

ryof

supp

ly/d

eman

deq

uilib

rium

.�

Tran

spor

tatio

nsu

pply

=ro

ads,

brid

ges,

train

s,bu

ses,

airp

orts

,boa

ts,p

lane

s,…

�Tr

ansp

orta

tion

dem

and

isde

rived

from

Trav

el

Cos

ts

Dem

and

Mod

elS

uppl

y M

odel

�Tr

ansp

orta

tion

dem

and

isde

rived

from

dem

and

fora

ctiv

ities

(goo

ds&

serv

ices

).�

Tran

spor

tatio

nco

sts

=ex

pect

edtim

e,di

stan

ce,

mon

ey,

and

othe

rpe

nalti

esas

soci

ated

with

usin

gso

me

trave

lopt

ion

�Th

eco

mbi

natio

nof

thes

eco

sts

isca

lled

“Gen

eral

ised

Mod

elM

odel

17

Cos

t”

�C

osts

incr

ease

with

dem

and

–co

nges

tion.

�D

eman

dde

crea

ses

with

cost

–di

vers

ion.

Sour

ce: T

rans

port

Mod

els:

TA

G U

nit 3

.1.2

. D

epar

tmen

t for

Tra

nspo

rt, J

une

2005

Tran

spor

tatio

n M

odel

Dat

abas

es

�Tr

ansp

ort A

naly

sis

Zone

s (T

AZ)

�S

tudy

are

a de

finiti

on�

Inte

rnal

zon

al d

ata

(soc

io-e

cono

mic

fact

ors)

�E

xter

nal s

tatio

ns

�Tr

ansp

ortn

etw

orks

Tran

spor

t net

wor

ks�

Dire

cted

gra

ph (n

ode-

link

conn

ectiv

ity)

�C

entro

ids

and

conn

ecto

rs�

Junc

tions

/ in

ters

ectio

ns�

Pub

lic tr

ansp

ort l

ines

and

sto

ps

�S

kim

min

g is

the

proc

ess

of tr

acin

g (s

umm

ing)

li

kl

tht

kl

th

18

link

valu

es a

cros

s th

e ne

twor

k al

ong

the

min

imum

cos

t pat

h be

twee

n ea

ch z

one

pair

(orig

in-d

estin

atio

n)

A2-50

10

Com

pone

nts

of th

e sy

stem

Off

�O

ffer s

yste

m�

infra

stru

ctur

al c

ompo

nent

s�

road

net

wor

ks, r

ailw

ay n

etw

orks

, airl

ine

netw

orks

, sea

net

wor

ks, L

PT

netw

orks

�ca

r par

ks, r

oad

junc

tions

, sta

tions

and

cal

ls, b

ranc

hes

�in

terc

hang

es, i

nter

mod

al te

rmin

als,

frei

ght t

erm

inal

s, a

irpor

t hub

s, p

ort c

entre

s

�or

gani

zatio

nalc

ompo

nent

sor

gani

zatio

nal c

ompo

nent

s�

road

traf

fic, r

ailw

ay, a

irlin

e an

d se

a re

gula

tions

�-s

yste

ms

to c

ontro

l tra

ffic

and

safe

ty�

-rou

tes,

line

s, ti

met

able

and

fare

s of

col

lect

ive

trans

port

�-u

ser i

nfor

mat

ion

syst

ems

�-e

mer

genc

y m

anag

emen

t sys

tem

s

Com

pone

nts

of th

e sy

stem

Dd

llh

hi

ffd

b�

Dem

and

syst

em: a

ll us

ers

who

use

the

serv

ice

offe

red

by a

tran

spor

t sys

tem

ov

er a

pre

arra

nged

tim

e sp

an a

nd w

ith s

peci

fic c

hara

cter

istic

s

�Tr

affic

sys

tem

: tra

ffic

flow

s tra

vellin

g on

eve

ry e

lem

ent o

f the

offe

r sys

tem

de

rived

from

the

inte

ract

ions

bet

wee

n de

man

d an

d of

fer

A2-51

11

Rep

rese

ntat

ion

of th

e of

fer

21

Rep

rese

ntat

ion

of th

e of

fer

Ph

il

�P

hysi

cal c

ompo

nent

s �

netw

ork

stru

ctur

e/Tr

ansp

orta

tion

Sup

ply

�Fu

nctio

nal c

ompo

nent

s�

cost

func

tions

trans

port

netw

ork

offe

r mod

el

all m

athe

mat

ical

rela

tions

that

cor

rela

te tr

ansp

ort c

osts

and

flow

s of

the

links

of

a ne

twor

k

A2-52

12

Gh

fh

k

Tran

spor

tatio

n S

uppl

y

�G

raph

of t

he n

etw

ork

�gr

aphi

cal s

chem

e as

soci

ated

to a

da

taba

se

�C

ompo

nent

s of

the

grap

h�

links �

linea

r ele

men

ts o

f the

gra

ph th

at

gp

repr

oduc

e th

e ba

sic

sect

ions

of r

eal

trans

port

infra

stru

ctur

es�

Nod

es�

poin

ts o

n th

e gr

aph

that

repr

oduc

e th

e in

ters

ectio

ns a

nd te

rmin

als

defin

ition

of n

ode:

nul

l bal

ance

of

flow

sflo

ws

Cid

Tran

spor

tatio

n S

uppl

y

�C

en

tro

ids

�fic

titio

us n

odes

repr

esen

ting

OD

zon

es�

Cen

troid

: bal

ance

of f

low

s �

0�

Aim

: cor

resp

onde

nce

betw

een

grap

h an

d st

ruct

ure

of th

e O

D m

atrix

�in

tern

al c

entro

id: c

entro

id o

f a z

one

iid

tht

din

side

the

stud

y ar

ea�

exte

rnal

cen

troid

: cen

troid

of a

zon

e ou

tsid

e th

e st

udy

area

�C

on

necti

ng

lin

ks

�fic

titio

us e

lem

ents

that

con

nect

C

entro

ids

to p

hysi

cal n

odes

�th

ey d

o no

t hav

e an

y ph

ysic

al o

r fu

nctio

nal c

hara

cter

istic

s

A2-53

13

If

ii

dh

Tran

spor

tatio

n S

uppl

y

�In

form

atio

n as

soci

ated

to a

gra

ph�

phys

ical

(or g

eom

etric

al) c

hara

cter

istic

s of

link

s�

Leng

th, s

ectio

n, n

umbe

r of l

anes

�…

�fu

nctio

nal c

hara

cter

istic

s of

link

s�

hier

arch

ical

leve

l, ad

min

istra

tive

com

pete

nce

dire

ctio

nno

entri

esco

mpe

tenc

e, d

irect

ion,

no

entri

es�

Spe

ed, C

apac

ity, t

raffi

c Fl

ow c

urve

�P

hysi

cal c

hara

cter

istic

s of

nod

es�

type

of i

nter

sect

ion:

righ

t of w

ay, t

raffi

c lig

ht, r

ound

abou

t,…�

num

ber o

f bra

nche

s, n

umbe

r of l

anes

, no

turn

ing

orno

left

turn

stu

rnin

g or

no

left

turn

s…�

Func

tiona

l cha

ract

eris

tics

of n

odes

�sp

eed

of la

nes,

cap

acity

of l

anes

, tra

ffic

light

s tim

ing,

gre

en p

erce

ntag

e�

A f

ull

, e

xte

ns

ive

Ge

od

ata

ba

se

Pbl

i

Tran

spor

tatio

n S

uppl

y

�P

ublic

tran

spor

t�

Info

rmat

ion

that

des

crib

e th

e P

T sy

stem

:�

Ser

vice

s or

dat

a ab

out P

T Li

nes

�Li

ne P

aths

des

crip

tion

�Tr

ansi

t Sto

ps d

escr

iptio

n�

Freq

uenc

y of

col

lect

ive

trans

port

serv

ices

�C

apac

ity o

f col

lect

ive

mea

ns o

f tra

nspo

rt�

“Not

Tra

nsit”

Lin

ks (“

NT

Legs

”), w

ith in

form

atio

n fo

r ea

ch P

T m

ode

rega

rdin

g:�

Ent

er a

Pub

lic T

rans

port

Sys

tem

�Q

uit a

Pub

lic T

rans

port

Sys

tem

�C

hang

e fro

m a

Pub

lic T

rans

port

Sys

tem

to

anot

her o

ne.

�A

fu

ll,

ex

ten

siv

e G

eo

da

tab

as

e

A2-54

14

Ele

men

ts o

f the

offe

r

TC

/Gl

�Tr

ansp

ort C

ost/G

ener

al c

ost

�C

ost t

o co

ver a

dis

tanc

e or

sec

tion

�M

ade

of s

ever

al c

ompo

nent

s th

at re

pres

ent t

he u

sele

ssne

ss a

ssoc

iate

d to

the

cove

ring

of

a se

ctio

n

�P

ublic

tran

spor

t�

pede

stria

n ac

cess

and

leav

ing

time

to a

nd fr

om s

tops

pg

p�

wai

ting

time

at s

tops

�jo

urne

y tim

e on

veh

icle

s�

cost

of f

are

(Far

es m

odel

ing)

�La

ck o

f com

fort

due

to c

row

ding

(Cro

wd

mod

elin

g)

Ele

men

ts o

f the

offe

r

Idi

idl

�In

divi

dual

tran

spor

t�

mon

etar

y co

st o

f fue

l�

cost

of m

otor

way

tolls

�co

st o

f pai

d pa

rkin

g ar

eas

�jo

urne

y tim

e�

time

to fi

nd a

par

king

spa

ce�

time

spen

t in

a qu

eue

�ris

k of

an

acci

dent

�C

ost f

unct

ions

�D

isch

arge

cur

ves

A2-55

15

Ele

men

ts o

f the

offe

r

Cf

i�

Co

st

fun

cti

on

�co

st c

cha

rged

to th

e us

er w

hen

trave

lling

on

a ce

rtain

link

l�

it ca

n be

a fu

nctio

n of

the

flow

f th

at tr

avel

s on

this

link

and

pos

sibl

y of

the

flow

trav

ellin

g on

ad

jace

nt b

ranc

hes

�c l

(f) =

col

+ c v

l(f)

�f =

vec

tor o

f flo

ws

�co

l= fi

xed

cost

inde

pend

ent o

f flo

w, e

x: to

ll�

cvl(

f) =

varia

ble

cost

due

to c

onge

stio

n

�T

ran

sp

ort

(sim

ula

ted

) n

etw

ork

: gra

ph w

hose

ele

men

ts a

re a

ssoc

iate

d to

a

cost

func

tion

or a

noth

er q

uant

itativ

e ch

arac

teris

tic

Ele

men

ts o

f the

offe

r

Cf

ii

b�

Cos

t fun

ctio

n: c

onne

ctio

n be

twee

n�

flow

or f

low

/cap

acity

�tim

e, s

peed

(inv

erse

cos

t) or

oth

er c

ompo

nent

s

A2-56

16

Ele

men

ts o

f the

offe

r

if

i�

repr

esen

tatio

n of

con

gest

ion

The

Cos

t Fun

ctio

n

Cf

hli

k�

Cos

t of t

he li

nkC

l= �

1×t l

+ � 2

×cm

l

�C

l=

gene

ral t

rans

port

cost

for t

he li

nk l

�t l

= jo

urne

y tim

e on

the

link

l�

c ml

= m

onet

ary

cost

of t

he li

nk l

�� 1

and

� 2=

coef

ficie

nts

of re

cipr

ocal

sub

stitu

tion

(Hom

ogen

izat

ion)

: re

duct

ion

of th

e co

st to

onl

y on

e sc

aled

qua

ntity

�C

ost

of

the r

ou

te

Ck

= �C

lk

l

A2-57

17

Cos

t fun

ctio

ns -

Hom

ogen

izat

ion

Ch

dii

tht

th�

Cos

t cha

rged

to a

use

r: qu

antit

ies

x ith

at a

re n

ot h

omog

eneo

us�

redu

ctio

n of

the

cost

to o

nly

one

scal

ed q

uant

ity�

hom

ogen

izat

ion

by m

eans

of d

imen

sion

al c

oeffi

cien

ts�

Ci=

� i(�

i·xi)

�di

men

sion

of c

oeffi

cien

ts: i

nver

se w

ith re

spec

t to

the

dim

ensi

on o

f var

iabl

es

�V

OT

: V

alu

e o

f T

ime

�C

gene

ral=

t+c m

�C

g= �

1 ×t

+ � 2

×c m

�� 1

= [h

-1] a

nd �

2 =

[€-1

]C

VO

Tt

��

Cg=

VO

T ×

t+ �

2 ×

c m

Cos

t fun

ctio

ns -

Hig

hway

�t r

= jo

urne

y tim

e�

t nf=

wai

ting

time

at th

e fin

al n

ode

�c m

= m

onet

ary

cost

�Jo

urne

y of

a p

edes

trian

�t p

= jo

urne

y tim

e

A2-58

18

Cos

t fun

ctio

ns -

Hig

hway

Tffi

flh

ib

�Tr

affic

flow

cur

ves:

they

repr

esen

ts a

con

nect

ion

betw

een

�flo

w o

r flo

w/c

apac

ity�

clea

ring

aver

age

spee

d

�Ty

pica

l cur

ves:

BP

R

Cos

t fun

ctio

ns -

Hig

hway

Mt

Ub

Rd

Mot

orw

ays

Urb

an R

oads

A2-59

19

Cos

t fun

ctio

ns –

Pub

lic T

rans

port

�t ac

c/le

av=

acce

ss/le

avin

g tim

e�

t s=

getti

ng o

n tim

e�

t w=

wai

ting

time

at a

sto

p�

t b=

jour

ney

time

on b

oard

�t t

= tra

nsfe

r tim

e�

t d=

getti

ng o

ff tim

e�

c m=

mon

etar

y co

st

Cos

t fun

ctio

ns –

Pub

lic T

rans

port

�A

cces

s/le

avin

g tim

e: ti

me

nece

ssar

y fo

r the

use

r to:

�re

ach

the

stop

to g

et o

n fro

m th

e or

igin

of h

is/h

er jo

urne

y �

reac

h th

e de

stin

atio

n of

his

/her

jour

ney

from

the

stop

whe

re h

e/sh

e ge

ts o

ff

�L a

cc/le

av=

acce

ss/le

avin

g di

stan

ce�

Vc,

acc/

leav

= co

mm

erci

al s

peed

of t

he m

eans

of t

rans

port

chos

en b

y a

user

al

ong

acce

ss/le

avin

g br

anch

es

A2-60

20

Cos

t fun

ctio

ns –

Pub

lic T

rans

port

�G

ettin

g of

f/on

time:

tim

e ne

cess

ary

for t

he u

ser a

t a s

top

to g

et o

n/of

f a

vehi

cle

�W

aitin

g Ti

me:

tim

e ne

cess

ary

for t

he u

ser a

t a s

top

wai

ting

for a

ser

vice

that

is

from

the

inst

ant h

e/sh

e ar

rives

unt

il th

e in

stan

t whe

n he

/she

sta

rts g

ettin

g on

Cos

t fun

ctio

ns –

Pub

lic T

rans

port

�Jo

urne

y tim

e or

tim

e on

boa

rd: t

ime

spen

t by

the

user

dur

ing

the

jour

ney

on

boar

d fro

m th

e en

d of

the

getti

ng o

n tim

e to

the

begi

nnin

g of

the

getti

ng o

ff tim

e

�L

= di

stan

ce ru

n on

boa

rd�

v m=

com

mer

cial

spe

ed o

f the

tran

spor

t sys

tem

A2-61

21

Cos

t fun

ctio

ns –

Pub

lic T

rans

port

�M

onet

ary

Cos

t: pr

ice

paid

by

the

user

to b

uy th

e rig

ht to

trav

el, f

or e

xam

ple:

fa

re, p

ass,

etc

.R

epre

sent

atio

n of

the

Dem

and

42

A2-62

22

Rep

rese

ntat

ion

of th

e Tr

ansp

ort d

eman

d

Sf

iii

fi

diib

dh

i�

Sys

tem

of a

ctiv

ities

–fu

nctio

ns d

istri

bute

d ov

er th

e te

rrito

ry

�R

esid

ence

�qu

antit

y of

peo

ple

on a

giv

en p

ortio

n of

terr

itory

�ty

pe a

nd d

ensi

ty o

f hou

ses

Sttl

t�

Set

tlem

ents

�ty

pe a

nd d

imen

sion

s of

set

tlem

ents

of p

rodu

ctio

n or

terti

ary

�w

orki

ng a

ctiv

ities

(fac

torie

s, s

hops

, offi

ces)

�nu

mbe

r of l

ocal

uni

ts�

num

ber o

f em

ploy

ees

�S

ervi

ces

(com

mer

cial

, fin

anci

al, s

ocia

l…)

(,

,)

�ty

pe a

nd n

umbe

r of s

hops

, ban

k br

anch

es, s

urge

ries,

etc

.�

hosp

ital b

eds

Rep

rese

ntat

ion

of th

e Tr

ansp

ort d

eman

d

Ed

i�

Edu

catio

n�

type

and

dim

ensi

ons

of s

choo

ls o

f sev

eral

type

and

leve

l�

num

ber a

nd d

imen

sion

s of

uni

vers

ities

�E

nter

tain

men

t�

type

and

dim

ensi

ons

of g

yms,

cin

emas

, etc

.

�To

uris

m�

Tour

ism

�ty

pe a

nd d

imen

sion

s of

tour

ist a

ttrac

tions

, etc

.

�R

elat

ed d

isci

plin

es�

tow

n pl

anni

ng�

scie

nce

of te

rrito

ryy�

stat

istic

s�

econ

omy

A2-63

23

Rep

rese

ntat

ion

of th

e Tr

ansp

ort d

eman

d

Ch

ii

fh

dd

�C

hara

cter

izat

ion

of th

e de

man

d�

Orig

in a

nd D

estin

atio

n of

the

jour

ney

�C

ateg

ory

of u

ser t

hat m

akes

the

jour

ney

(Use

r Cla

sses

):�

Wor

ker

�S

tude

nt�

Tour

ist.

Rft

hj

�R

easo

n of

the

jour

ney

�To

pica

lity

of th

e jo

urne

y�

curre

nt: i

t tak

es p

lace

at t

he s

ame

time

as th

e an

alys

is o

f the

dem

and

�po

tent

ial:

it su

ppos

edly

take

s pl

ace

unde

r cer

tain

con

ditio

ns o

f the

offe

r to

sim

ulat

e an

d as

sess

�fu

ture

: it t

akes

pla

ce a

t a fu

ture

tim

e re

fere

nce

Rep

rese

ntat

ion

of th

e Tr

ansp

ort d

eman

d

Ch

ii

fh

dd

�C

hara

cter

izat

ion

of th

e de

man

d�

Tim

e or

tim

e ba

nd o

f the

jour

ney

�m

orni

ng ru

sh h

our,

even

ing

rush

hou

r�

afte

rnoo

n m

oder

ate

flow

hou

r, …

�R

ecur

renc

e of

the

jour

ney

�co

mm

utin

g, ir

regu

lar,

occa

sion

alF

fth

j�

Freq

uenc

y of

the

jour

ney

�se

vera

l tim

es a

day

�ev

ery

day

of th

e w

eek,

eve

ry w

orki

ng d

ay�

som

etim

es in

a m

onth

, ...

�Ty

pe o

f tra

nspo

rt us

ed fo

r the

jour

ney

�co

llect

ive

trans

port

�in

divi

dual

tran

spor

tp

�V

ehic

les

used

for e

ach

type

�tra

m, u

nder

grou

nd, t

rain

�ca

r, m

otor

bike

, bic

ycle

�R

oute

follo

wed

A2-64

24

Orig

in-D

estin

atio

n (O

D) M

atrix

Zi

fh

�Zo

ning

of t

he a

rea

IE

EE

EI

II

IE

The

stru

ctur

e of

a O

D M

atrix

A2-65

25

Com

pone

nts

and

char

acte

ristic

s of

the

OD

mat

rix

fh

i�

stru

ctur

e of

the

mat

rix�

OD

zon

es: s

truct

urin

g of

the

terr

itory

and

of t

he d

ata

of th

e an

alys

is

�se

ctor

s of

the

mat

rix�

prog

ress

ive

num

berin

g of

zon

es in

side

/out

side

�jo

urne

ys in

side

the

area

of i

nter

vent

ion

(II)

�ou

twar

dsjo

urne

ys(IE

)ou

twar

ds jo

urne

ys (I

E)

�in

war

ds jo

urne

ys (E

I)�

cros

sing

jour

neys

(EE

)�

intra

zona

ljou

rney

s –

mai

n di

agon

al (z

one I

=zon

e J)

�m

argi

ns o

f the

mat

rix�

tota

l per

line

and

col

umn

(Trip

End

s)t

tlj

td

fth

fi

i(P

dti

)�

tota

l jou

rney

s ge

nera

ted

from

the

zone

s of

orig

in (P

rodu

ctio

ns)

�to

tal j

ourn

eys

attra

cted

by

the

zone

s of

des

tinat

ion

(Attr

actio

ns)

Pat

h bu

ildin

g an

d A

ssig

nmen

t

50

A2-66

26

Pat

h bu

ildin

g / A

ssig

nmen

t

Ai

li

�A

typi

cal a

ssig

nmen

t pro

cess

:�

build

s pa

ths

base

d up

on li

nk c

osts

(im

peda

nces

) �

assi

gns

trips

to th

ose

path

s fo

r eac

h or

igin

zon

e.

�A

fter a

ll or

igin

zon

es h

ave

been

pro

cess

ed, l

ink

cost

s ar

e up

date

d ba

sed

upon

the

leve

l of c

onge

stio

n on

eac

h lin

k.

�Th

een

tire

path

and

assi

gnm

entp

roce

ssis

repe

ated

until

som

ecr

iteria

for

�Th

e en

tire

path

and

ass

ignm

ent p

roce

ss is

repe

ated

unt

il so

me

crite

ria fo

r te

rmin

atio

n is

reac

hed.

Diff

eren

t crit

eria

are

use

d to

det

erm

ine

whe

n en

ough

ite

ratio

ns h

ave

been

per

form

ed.

�Th

e vo

lum

es fr

om e

ach

itera

tion

are

com

bine

d to

form

a w

eigh

ted

assi

gnm

ent.

�A

lmos

tall

ofth

eop

erat

ions

follo

wa

fixed

patte

rn,a

ndar

edr

iven

byba

sic

Alm

ost a

ll of

the

oper

atio

ns fo

llow

a fi

xed

patte

rn, a

nd a

re d

riven

by

basi

c pa

ram

eter

s. V

ario

us o

ptio

ns a

re u

sual

ly a

vaila

ble

to p

rovi

de th

e us

er w

ith

addi

tiona

l out

puts

.�

Spe

cific

cou

rses

and

lite

ratu

re a

vaila

ble…

The

Four

-Ste

p M

odel

ling

Pro

cess

52

A2-67

27

The

Four

-Ste

p M

odel

ling

Pro

cess

�O

ne(e

xtre

mel

yco

mm

on)

met

hod

offo

reca

stin

gtra

veld

eman

d.�

Trip

ends

(pro

duct

ions

and

attra

ctio

ns)

are

gene

rate

dba

sed

upon

soci

o-ec

onom

ican

dde

mog

raph

icfa

ctor

s.

Gen

erat

ion

Dis

tribu

tion

�Th

ese

are

dist

ribut

edbe

twee

nzo

nes

base

dup

onag

greg

ate

trave

lcos

ts.

�Lo

git

mod

els

are

used

tosp

litpe

rson

trips

betw

een

diffe

rent

trave

lmod

es.

�Tr

ips

bym

ode

are

fact

ored

bytim

eof

day

and

f

Mod

eC

hoic

e

Net

wor

k

53

assi

gned

tosp

ecifi

cne

twor

kpa

ths.

�M

oder

nve

rsio

nsof

this

proc

ess

feed

back

cost

sfro

mas

sign

men

tto

earli

erst

eps.

Ass

ignm

ent

Ah

i“h

i

Trip

Gen

erat

ion

�A

nsw

ers

the

ques

tion

“how

man

ytri

psar

epr

oduc

edby

and

attra

cted

toea

chzo

ne”.

�P

rodu

ctio

nsan

dat

tract

ions

are

afu

nctio

nof

soci

o-ec

onom

icat

tribu

tes

ofth

ezo

ne,

such

asho

useh

olds

and

empl

oym

ent.

�C

ateg

orie

sof

trips

:

150

150

HH

HH

500

500

EM

P…

EM

P…

1300

13

00 “t

rips”

“trip

s”

�C

ateg

orie

sof

trips

:�

Hom

e-ba

sed-

wor

k(c

omm

ute)

�H

ome-

base

d-ot

her(

e.g.

soci

al/re

crea

tiona

l)�

Non

-hom

e-ba

sed

(e.g

.mid

-day

erra

nds)

�Ty

pica

lmod

elfo

rms:

�C

ross

-cla

ssifi

catio

n(a

vera

getri

pra

tes

byho

useh

old

and

empl

oym

entc

ateg

ory)

�Li

near

regr

essi

on(le

ast-s

quar

eses

timat

ion)

�O

rder

edlo

git(

disc

rete

choi

ce)

A2-68

28

Trip

Dis

tribu

tion

�An

swer

sth

equ

estio

n“w

here

dotri

pspr

oduc

edby

zone

sgo

,an

dw

here

dotri

psat

tract

edby

zone

sco

me

from

?”�

Func

tion

ofac

tivity

conc

entra

tions

and

zone

-to

-zon

etra

velc

osts

D1

tozo

netra

velc

osts

.�

Pro

cess

calib

rate

dto

mat

chan

obse

rved

trip

leng

thdi

strib

utio

n(e

.g.f

rom

surv

eys)

.�

Typi

calf

orm

s:�

FRA

TAR

–ite

rativ

epr

opor

tiona

lfitt

ing

(IPF)

�G

ravi

tym

odel

–IP

Fw

ithfri

ctio

nfa

ctor

s

Orig

in

D2

D3

D4

55

y�

Des

tinat

ion

choi

ce–

rand

omut

ility

mod

el(lo

git)

Mod

e S

plit

�A

nsw

ers

the

ques

tion,

“how

dotri

psge

tfro

mpr

oduc

tions

toat

tract

ions

,giv

enth

eav

aila

ble

seto

fnet

wor

kop

tions

?”�

Pos

sibl

em

odes

:pu

blic

trans

it,pe

rson

alve

hicl

eno

n-m

otor

ized

trans

port

asw

ell

asve

hicl

e,no

nm

otor

ized

trans

port,

asw

ell

asde

taile

dpa

th/v

ehic

lety

peop

tions

.�

The

prob

abilit

yof

sele

ctin

ga

give

nm

ode

isa

func

tion

ofth

ere

latio

nshi

pbe

twee

nits

cost

and

the

cost

ofco

mpe

ting

mod

es.

�T y

pica

lfor

ms:

56

yp �M

ultin

omia

llog

it(r

ando

mut

ility

mod

el)

�N

este

dor

hier

arch

ical

logi

t�

Incr

emen

tall

ogit

(bas

edon

chan

ges

inco

st)

A2-69

29

Tim

e-of

-Day

Fac

torin

g

�A

nsw

ers

the

ques

tion

“whe

ndo

trips

betw

een

orig

ins

and

dest

inat

ions

occu

r?”

�Tr

ipG

ener

atio

n,D

istri

butio

n,an

dM

ode

Spl

itcr

eate

squa

retri

pta

bles

inpr

oduc

tion-

attra

ctio

nfo

rmat

whe

reea

chce

llre

pres

ents

Tim

e S

eg

men

t 1

D1

Di

Dz

O1

T1,

1T

1,i

T1,

z

Oi

T i,1

T i,i

T i,z

Tim

e S

eg

men

t S

D1

Di

Dz

O1

T1,

1T

1,i

T1,

z

Oi

T i1

T ii

T i

Tim

e S

eg

men

t N

D1

Di

Dz

O1

T1,

1T

1,i

T1,

zat

tract

ion

form

at,

whe

reea

chce

llre

pres

ents

both

outb

ound

and

retu

rn.

�To

trans

late

into

orig

in-d

estin

atio

nfo

rmat

,the

trip

tabl

esm

ust

betra

nspo

sed,

adde

dto

geth

er,a

nddi

vide

dby

two.

�Ti

me-

o f-d

ayfa

ctor

sar

esi

mul

tane

ousl

y

Oz

Tz,

1T

z,i

Tz,

z

Oi

T i,1

T i,i

T i,z

Oz

Tz,

1T

z,i

Tz,

z

Oi

T i,1

T i,i

T i,z

Oz

Tz,

1T

z,i

Tz,

z

57

yy

appl

ied,

repr

esen

ting

prob

abilit

yth

atth

eou

tbou

ndor

retu

rnpo

rtion

ofa

trip

occu

rsdu

ring

the

time

perio

dto

bean

alyz

ed.

Hig

hway

and

Tra

nsit

Ass

ignm

ent

�A

nsw

ers

the

ques

tion

“wha

tsp

ecifi

cro

utes

orlin

ksar

eus

edby

trips

,an

dat

wha

tle

vel

ofin

tens

ity?”

�Fu

nctio

nof

inte

ract

ion

betw

een

trave

lde

man

dan

dtra

nspo

rtatio

nsu

pply

incl

udin

gco

nges

tion

and

trans

porta

tion

supp

lyin

clud

ing

cong

estio

nan

dcr

owdi

ngef

fect

s.�

Equi

libriu

m:

all

used

path

sha

veeq

ual

and

min

imum

trave

lco

st;

notri

pca

nun

ilate

rally

dive

rtw

ithou

tinc

reas

ing

cost

.�

T ypi

calf

orm

s:

58

yp �A

ll-or

-not

hing

(sho

rtest

path

son

ly)

�U

sere

quili

briu

m(c

onve

xco

mbi

natio

ns)

�R

oute

choi

ce(tr

ansi

tmul

ti-pa

than

alys

is)

A2-70

30

Act

ivity

Bas

ed M

odel

s

59

Lim

itatio

ns o

f Trip

Bas

ed M

odel

s

Wih

Pi

hi

fl

i�

With

Per

son-

trips

as

the

unit

of a

naly

sis:

�N

o in

tera

ctio

ns b

etw

een

trips

mad

e in

the

sam

e tri

p ch

ain

�N

o in

tera

ctio

ns b

etw

een

trip

chai

ns m

ade

durin

g th

e sa

me

day

�N

o in

tera

ctio

ns b

etw

een

the

trips

mad

e by

peo

ple

in th

e sa

me

hous

ehol

d

�S

patia

l agg

rega

tion

of T

rips:

�

Trip

orig

ins

and

dest

inat

ions

mod

eled

asif

they

are

loca

ted

atth

esa

me

poin

tin

spac

eTr

ip o

rigin

s an

d de

stin

atio

ns m

odel

ed a

s if

they

are

loca

ted

at th

e sa

me

poin

t in

spac

e

�D

emog

raph

ic a

ggre

gatio

n:

�A

ll ho

useh

olds

with

in a

giv

en z

one

are

treat

ed a

s id

entic

al o

r seg

men

ted

alon

g a

few

di

men

sion

s

�Te

mpo

ral a

ggre

gatio

n:

�O

nly

a fe

w p

erio

ds o

f the

day

are

con

side

red

�P

ropo

rtion

of t

rips

mad

e in

eac

h pe

riod

treat

ed a

s co

nsta

nt

A2-71

31

Act

ivity

Bas

ed M

odel

s

El

iih

lid

id

dd

�E

arly

reco

gniti

on th

at tr

avel

is a

der

ived

dem

and

�de

rived

from

a p

erso

n’s

desi

re to

eng

age

in a

ctiv

ities

that

are

spa

tially

sep

arat

ed�

Focu

s of

the

mod

el s

houl

d be

on

the

unde

rlyin

g be

havi

or: W

hat p

eopl

e w

ant t

o do

, not

w

here

peo

ple

wan

t to

go

�E

arly

atte

mpt

sat

impl

emen

ting

tour

base

dm

odel

sE

arly

atte

mpt

s at

impl

emen

ting

tour

bas

ed m

odel

s�

San

Fra

ncis

co B

ay A

rea,

The

Net

herla

nds,

Boi

se Id

aho,

Sto

ckho

lm, N

ew H

amps

hire

, Ita

ly

�C

urre

nt im

plem

enta

tions

of a

ctiv

ity-b

ased

trav

el d

eman

d m

odel

sys

tem

s�

Por

tland

OR

, San

Fra

ncis

co C

ount

y C

A, N

ew Y

ork

City

, Col

umbu

s O

H, A

tlant

a, S

an

Fran

cisc

o B

ay A

rea

(MTC

)

Al

if

dli

h

Act

ivity

and

Tou

r Bas

ed M

odel

ing

Aut

o O

wne

rshi

p M

odel

Act

ivity

Day

-Pat

tern

C

hoic

e

�A

ltern

ativ

e to

four

-ste

p m

odel

ing

appr

oach

po

pula

r in

the

acad

emic

tran

spor

tatio

n re

sear

ch c

omm

unity

and

bec

omin

g m

ore

com

mon

in p

ract

ice

(alth

ough

stil

l les

s th

an

4SM

)�

Dis

aggr

egat

esi

mul

atio

nus

ing

synt

hetic

Tour

Gen

erat

ion

&

Tim

e-of

-Day

Dis

aggr

egat

e si

mul

atio

n us

ing

synt

hetic

po

pula

tions

bas

ed u

pon

mic

ro-d

ata

�C

ompl

ete

tour

s, o

r cha

ins

of tr

ips,

are

an

alyz

ed, r

athe

r tha

n in

divi

dual

trip

s�

e.g.

Hom

e >

Wor

k >

Sho

p >

Hom

e

�A

ctiv

ity lo

catio

n an

d sc

hedu

ling

mod

els

Join

t Mod

e/D

estin

atio

n C

hoic

e

yg

�M

ode

choi

ce a

pplie

s to

ent

ire to

ur�

Idea

lly s

uite

d fo

r dyn

amic

traf

fic a

ssig

nmen

t an

d m

eso-

sim

ulat

ion

A2-72

32

Act

ivity

-Bas

ed A

ppro

ach(

es)

Ai

iB

dA

h�

Act

ivity

-Bas

ed A

ppro

ach

�Th

ink

and

mod

el a

ctiv

ities

firs

t (th

e m

otiv

atio

n)�

Con

side

r int

erac

tions

am

ong

activ

ities

and

age

nts

(peo

ple)

�

Der

ive

trave

l as

a re

sult

of a

ctiv

ity p

artic

ipat

ion

(der

ived

dem

and)

�C

onsi

der l

inka

ges

amon

g ac

tiviti

es a

nd tr

ips

(inte

ract

ions

)

�D

eman

d fo

r act

iviti

es <

-> ti

me

allo

catio

n�

By

defin

ition

a d

ynam

ic re

latio

nshi

p w

ith fe

edba

cks

�M

ost a

ppro

ache

s im

ply

thin

king

in te

rms

of te

mpo

ral h

iera

rchi

es

Act

ivity

Pat

tern

s (S

ched

ule)

Af

iii

hd

ld

fih

id

i�

A s

eque

nce

of a

ctiv

ities

, or

a sc

hedu

le, d

efin

es a

pat

h in

spa

ce a

nd ti

me

�W

hat d

efin

es a

per

son’

s ac

tivity

pat

tern

?�

Tota

l am

ount

of t

ime

outs

ide

hom

e�

Num

ber o

f trip

s pe

r day

and

thei

r typ

e�

Allo

catio

n of

trip

s to

tour

s�

Allo

catio

nof

tour

sto

parti

cula

rHH

mem

bers

Allo

catio

n of

tour

s to

par

ticul

ar H

H m

embe

rs�

Dep

artu

re ti

me

from

hom

e�

Arr

ival

tim

e at

hom

e in

the

even

ing

�A

ctiv

ity d

urat

ion

�A

ctiv

ity lo

catio

n�

Mod

e of

tran

spor

tatio

n�

Trav

elpa

rty�

Trav

el p

arty

�W

hat e

lse?

A2-73

33

Tim

e ve

rsus

Spa

ce p

atte

rns

Spa

tial p

atte

rnTe

mpo

ral p

atte

rn

L S

yW

L

activ

ities

HW

time

x

H

S

Rea

l pat

h

Ac

tivit

ies

:

H …

Ho

me

W …

Wo

rkL

… L

eis

ure

S …

S

ho

pp

ing

Sim

plifi

ed p

ath

Tim

e ve

rsus

Spa

ce p

atte

rns

Spa

tial p

atte

rnTe

mpo

ral p

atte

rn

L S

yW

L

activ

ities

HW

time

x

H

S

Rea

l pat

hE

ach

activ

ity =

one

epi

sode

Ac

tivit

ies

:

H …

Ho

me

W …

Wo

rkL

… L

eis

ure

S …

S

ho

pp

ing

Sim

plifi

ed p

ath

A tri

p is

an

epis

ode

too

A2-74

34

Act

iviti

es in

Tim

e an

d S

pace

e Time

HW

L 67

HL

S

Ac

tivit

ies

:H

… H

om

eW

… W

ork

L …

Leis

ure

S …

S

ho

pp

ing

1P

li

hi

A ty

pica

l Mod

el S

truct

ure

1.P

opul

atio

n sy

nthe

size

r2.

Zona

l acc

essi

bilit

y m

easu

res

3.A

ctiv

ity a

nd tr

avel

sim

ulat

or4.

Trav

el a

ggre

gato

r5.

Traf

fic a

ssig

nmen

t6.

Feed

back

loop

/ eq

uilib

ratio

n

A2-75

35

Con

clus

ions

69

The

typi

cal m

odel

dev

elop

men

t wor

kflo

w

1.C

ompr

ehen

dth

em

odel

purp

ose

2.G

athe

rand

code

data

�Tr

ansp

orta

tion

netw

orks

:roa

dway

cent

relin

es,i

nter

sect

ion

defin

ition

s,pu

blic

trans

itro

utes

�D

efin

eTA

Zbo

unda

ries

and

sum

mar

ize

dem

ogra

phic

and

econ

omic

fact

ors

(hou

seho

lds

and

empl

oym

ent)

byzo

ne3.

Def

ine

mod

elfu

nctio

ns3.

Def

ine

mod

elfu

nctio

ns�

Obt

ain

trave

lbeh

avio

rinv

ento

ryor

surv

eyda

ta�

Spe

cify

,est

imat

ean

dca

libra

tem

athe

mat

ical

rela

tions

hips

usin

gst

atis

tical

tool

s&

met

hods

4.Li

nkda

taan

dpr

oces

ses

with

inte

rface

�La

you

tapp

licat

ion

grou

psan

dpr

ogra

ms

�S

eque

nce

step

san

dlin

kco

mm

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tafil

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tt

li

id

d

70

�C

reat

eca

talo

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n,re

view

,rev

ise

asne

eded

A2-76

Tra

inin

g

–Cube

Bas

e v5

Intr

oduc

tion

to

Cube

Cube

Bas

e –

mod

el a

pplic

atio

n an

d da

ta

Tra

inin

g

–Cube

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e v5

�Ca

talo

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ea–S

cena

rios

–Dat

a

Ove

rvie

w o

f Cu

be B

ase

–App

licat

ions

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ow c

hart

(a

pps)

–The

mod

el

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ata

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wor

k/PT

Li

nes

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abas

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cena

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spec

ific

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ts

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k w

indo

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ased

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Cube

4 st

yle

A2-77

Tra

inin

g

–Cube

Bas

e v5

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Tab

les

•St

ores

soc

io-e

cono

mic

& d

emog

raph

ic in

form

atio

n, t

rip

ends

•Ex

chan

ge f

orm

ats:

ASC

II (e

.g.

CSV)

tex

t, D

BF (

SHP)

•Be

st G

IS f

orm

at:

geod

atab

ase

poly

gon

feat

ure

clas

s

•M

atri

x D

ata

•Zo

ne-t

o-zo

ne i

nfor

mat

ion

of a

ny k

ind

e.g.

tri

ps,

cost

s•

Up

to 2

55 t

able

s pe

r fi

le;

32,0

00 z

ones

•N

ativ

e bi

nary

MAT

for

mat

for

com

pres

sion

, ef

fici

ency

•AS

CII (

e.g.

CSV

) te

xt,

DBF

for

mat

s fo

r ex

chan

ge

•Re

cord

and

Dat

abas

e Fi

les

•AS

CII (

e.g.

CSV

) te

xt,

DBF

, M

S Ac

cess

200

3, E

SRI p

erso

nal g

eoda

taba

se f

orm

ats

•Lo

okup

Tab

les

•AS

CII (

e.g.

CSV

) te

xt,

DBF

for

mat

s

A2-108

Tra

inin

g –

Cube

Voya

ger

Impl

emen

tati

on o

f Vo

yage

r –

Prog

ram

men

us

Tra

inin

g –

Cube

Voya

ger

Impl

emen

tati

on o

f Vo

yage

r –

scri

pt f

ile

A2-109

Tra

inin

g –

Cube

Voya

ger

Impl

emen

tati

on o

f Vo

yage

r –

scri

pt f

ile

Tra

inin

g –

Cube

Voya

ger

Impl

emen

tati

on o

f Vo

yage

r –

scri

ptin

g he

lp

A2-110

Tra

inin

g –

Cube

Voya

ger

•Al

l sta

tem

ents

fol

low

the

sam

e ge

nera

l str

uctu

re:

COA

DO

RDA

SB

ORD

A

Cube

Voy

ager

Syn

tax

and

Stru

ctur

e

•CO

MM

AND

KEYW

ORD

=VAL

UE

SUBK

EYW

ORD

=VA

LUE

•KE

YWO

RDs

are

alw

ays

follo

wed

by

an e

qual

s si

gn a

nd a

VA

LUE

•Th

e VA

LUE

ma y

be

the

resu

lt o

f an

exp

ress

ion

or

yp

com

puta

tion

•Co

ntin

uati

on c

hara

cter

s (c

omm

as,

equa

ls s

igns

, an

y op

erat

or)

dist

ribu

te s

tate

men

ts a

cros

s m

ulti

ple

lines

•E.

g.:

COM

MAN

D,

KEYW

ORD

=VAL

UE

KEYW

ORD

=VAL

UE,

SUBK

EYW

ORD

=VAL

UE

Tra

inin

g –

Cube

Voya

ger

•O

pera

tors

:

Cube

Voy

ager

Exp

ress

ions

+ad

diti

on||

logi

cal O

R-

subt

ract

ion

&&

logi

cal A

ND

*m

ulti

plic

atio

n==

, =

equa

ls/

divi

sion

!=,

<>do

es n

ot e

qual

%m

odul

us>=

grea

ter

than

oreq

ualt

o%

mod

ulus

>=gr

eate

r th

an o

r eq

ual t

o^

expo

nent

iati

on<=

less

tha

n or

equ

al t

o()

pare

nthe

ses

>gr

eate

r th

an<

less

tha

n•

Num

eric

fun

ctio

ns:

•AB

S, IN

T, R

OU

ND

, M

AX,

MIN

EXP,

LN

, LO

G,

POW

, SQ

RTRA

ND

, RA

ND

OM

, RA

ND

SEED

A2-111

Tra

inin

g –

Cube

Voya

ger

•Tr

igon

omet

ric

func

tion

s:

Cube

Voy

ager

Exp

ress

ions

g•

COS,

ARC

COS,

SIN

, AR

CSIN

, TA

N,

ARCT

AN

•Ch

arac

ter

func

tion

s:•

DEL

ETES

TR(s

1,n1

,n2)

, D

UPS

TR(s

tr,n

), F

ORM

AT(x

,w,d

,str

), IN

SERT

STR(

s1,s

2,n)

, LE

FTST

R(s1

,n),

LTR

IM(s

tr),

REP

LACE

STR(

s1,s

2,s3

,n),

REP

LACE

STRI

C(s1

,s2,

s3,n

),

REVE

RSES

TR(s

1),

RIG

HTS

TR(s

1,n)

, ST

R(v,

w,d

), S

TRLE

N(s

tr),

STR

LOW

ER(s

tr),

ST

RPO

S(st

rst

r2)

STRP

OSE

X(s1

s2n1

)ST

RUPP

ER(s

tr)

SUBS

TR(s

trb

n)TR

IM(s

tr)

STRP

OS(

str,

str2

), S

TRPO

SEX(

s1,s

2,n1

), S

TRU

PPER

(str

), S

UBS

TR(s

tr,b

,n),

TRI

M(s

tr),

VAL(

str)

•Sp

ecia

l fun

ctio

ns:

•Cm

pNum

RetN

um(V

1,O

P,V2

,R1,

R2)

•Co

mpa

re n

umbe

r V1

to

num

ber

V2 b

ased

on

OP

and

retu

rn R

1 if

res

ult

is t

rue

and

R2

ifre

sult

isfa

lse.

esul

ts

alse

.

Tra

inin

g –

Cube

Voya

ger

•In

clud

e pl

enty

of

com

men

ts—

for

your

self

and

oth

ers

Com

men

ts a

nd s

tyle

gui

delin

es

•Ev

eryt

hing

fol

low

ing

a se

mi-

colo

n on

any

line

is a

com

men

t•

Use

; c

omm

ents

to

expl

ain

inte

nt b

ehin

d co

ded

com

man

ds

•Ev

eryt

hing

bet

wee

n /*

and

*/

is a

con

trol

blo

ck (

igno

red

by

pars

er)

•U

se c

ontr

ol b

lock

s to

tur

n of

f se

ctio

ns o

f sc

ript

wit

hout

del

etin

g

•U

sefu

llCO

MM

AND

KEYW

ORD

=VAL

UE

synt

axw

hen

poss

ible

•U

se f

ull C

OM

MAN

D K

EYW

ORD

=VAL

UE

synt

ax w

hen

poss

ible

•W

rite

sys

tem

com

man

ds,

keyw

ords

, an

d fu

ncti

ons

in U

PPER

CASE

, re

serv

e lo

wer

and

pro

per

case

for

use

r-de

fine

d va

riab

les

and

nam

es•

NEV

ER h

ave

your

scr

ipt

file

ope

n w

hen

you

are

linki

ng n

ew f

iles

into

aVo

yage

rM

odul

eIn

put

and

outp

utfi

les

will

not

get

into

a V

oyag

er M

odul

e.

Inpu

t an

d ou

tput

file

s w

ill n

ot g

et

upda

ted!

•Tr

y ri

ght-

clic

king

whe

n yo

u ar

e un

sure

wha

t sh

ould

com

e ne

xt

A2-112

Tra

inin

g –

Cube

Voya

ger

•Cu

be V

oyag

er p

rogr

am m

odul

es m

ay c

onta

in o

ne o

r m

ore

“pha

ses”

Prog

ram

mod

ule

stru

ctur

e

•Ea

ch p

hase

per

form

s a

user

-spe

cifi

ed s

eque

nce

of o

pera

tion

s on

eac

h el

emen

t of

a d

ata

stru

ctur

e, s

uch

as li

nks

in a

net

wor

k•

Typi

cal

prog

ram

scr

ipt:

;Comments preceded by semicolon

RUN PGM=name

FILEI …;specify input files

FILEO …;specify output files

PARAMETERS …;global settings not in any phase

PROCESS PHASE=…

COMMAND KEYWORD=…

;more commands…

ENDPROCESS

;more phases…

ENDRUN

ENDRUN

•Ad

diti

onal

ly,

som

e pr

ogra

ms

have

an

iter

ativ

e lo

opin

g fr

amew

ork

that

w

ill r

epea

t ce

rtai

n ph

ases

unt

il a

conv

erge

nce

crit

erio

n is

met

Tra

inin

g –

Cube

Voya

ger

Gen

eral

Set

up

Comments

;Used to document your model

;whole

lines

or

;whole

lines

or

; end (;) of command line

RUN Program

; start of program run/module

FILES

; input and output files as specified in Flow

; Chart (we do not need to type this in

; Application Manager does this automatic for us).

PARAMETERS

; setting values for variables

PROCESS PHASE =

; start a calculation process

COMMAND keyword=

; document/explain the command

….more commands

ENDPROCESS

; end the calculation process

…. more processes

END

; end of program run

A2-113

Tra

inin

g –

Cube

Voya

ger Fu

ncti

ons

Use

d in

All

Mod

ules

•IF

Sta

tem

ent

•IF

(k >

l)…

•=

==

>

< >

= <

= !

= <

>•

&

&&

|

||

!•

Can

com

pare

item

wit

h lis

t:

IF(

I=1-

10,2

1,25

-29)

•IF

(co

ndit

ion)

CO

MM

AND

•IF

(co

ndit

ion)

�…

•EN

DIF

Tra

inin

g –

Cube

Voya

ger Fu

ncti

ons

Use

d in

All

Mod

ules

•PR

INT

Cont

rol S

tate

men

t•

LIST

= a,

b,c

•FO

RM=

fiel

dWid

th&

form

at s

ets

defa

ult

form

at•

FILE

=file

nam

e if

wri

ting

to

file

•PR

INTO

=#

; R

efer

to

prin

t ou

tput

file

•CS

V=T

;Au

tom

atic

ally

sets

the

outp

utto

aCS

Vfo

rmat

•CS

VT

;

Aut

omat

ical

ly s

ets

the

outp

ut t

o a

CSV

form

at

•It

ems

in L

IST

may

hav

e th

eir

own

form

at:

Vari

able

Nam

e(fo

rmat

)•

Form

ats:

fiel

dw

idth

10:

(10)

•fi

eld

wid

th 1

0:

(10

)•

fiel

d w

idth

8,

2 de

cim

al p

lace

s:

(

8.2)

A2-114

Tra

inin

g –

Cube

Voya

ger

•LO

OKU

P ta

ble

Func

tion

s U

sed

in A

ll M

odul

es

•A

look

up t

able

can

be

used

any

whe

re in

Voy

ager

sc

ript

•Th

ere

are

mul

tipl

e fo

rms;

how

ever

the

mos

t co

mm

on is

a D

BF f

ile w

ith

seve

ral c

olum

ns,

som

e of

whi

ch r

epre

sent

look

up f

ield

s, a

nd o

ther

s re

pres

enti

ng r

esul

t fi

elds

FILEI LOOKUPI[1]="lookup.dbf"

LOOKUP LOOKUPI=1,

NAME=lookup,

LOOKUP[1]=FTYPE,RESULT=SPD_A1,

•Yo

u ca

n au

tom

ate

look

up t

able

cod

ing

usin

g th

e w

izar

d at

Inse

rt >

Loo

kup

Tabl

e•

Exam

ple:

sp

eed

by a

rea

type

and

fac

ility

typ

e co

de•

Lim

itat

ion:

onl

y on

e lo

okup

val

ue

LOOKUP[2]=FTYPE,RESULT=SPD_A2,

LOOKUP[3]=FTYPE,RESULT=SPD_A3,

FAIL[3]=0

; example of use: v=lookup(3,25)

; look for 25 in the FTYPE field

; and returns the SPD_A3 value

Tra

inin

g –

Cube

Voya

ger

Mod

ellin

g TI

PS

•Al

way

sw

rite

scri

pts

inCA

PITA

LS,

cert

ain

cont

rol

Alw

ays

wri

te s

crip

ts in

CAP

ITAL

S, c

erta

in c

ontr

ol

stat

emen

ts a

re c

ase

sens

itiv

e •

Incl

ude

Lots

of

Com

men

tsto

you

r sc

ript

s (D

on’t

For

get

the

;) •N

EVER

hav

e yo

ur s

crip

t fi

le o

pen

whe

n yo

u ar

e lin

king

new

y

pp

yg

file

s in

to a

Voy

ager

Mod

ule:

inpu

t an

d ou

tput

file

s w

ill n

ot

get

upda

ted

•U

se t

he r

ight

clic

k w

hen

unsu

re w

hat

com

es n

ext

A2-115

Tra

inin

g –

Cube

Voya

ger

Gen

erat

ed S

crip

t Fi

les

•A

scri

pt f

ile is

cre

ated

and

mai

ntai

ned

by A

M•

AM a

utom

atic

ally

gen

erat

e th

e ba

sic

stru

ctur

e•

AM k

eeps

tra

ck o

f al

l the

inpu

t an

d ou

tput

file

s•

The

user

will

add

Par

amet

ers,

Pro

cess

blo

cks,

Cal

cula

tion

s•

The

user

shou

ldN

EVER

edit

the

file

nam

esan

dlo

cati

ons

The

user

sho

uld

NEV

ER e

dit

the

file

nam

es a

nd lo

cati

ons

•Al

l cha

nges

to

the

file

nam

es a

nd lo

cati

ons

shou

ld b

e do

ne

in A

M

Tra

inin

g –

Cube

Voya

ger

Cube

Voy

ager

Net

wor

k

22

A2-116

Tra

inin

g –

Cube

Voya

ger

•Bu

ildin

g, C

ompa

ring

and

Man

ipul

atin

g H

ighw

ay N

etw

orksNet

wor

k

g,p

gp

gg

y•

Mod

ule

Basi

cs•

Inpu

ts:

•U

p to

10

Link

File

s •

Up

to 1

0 N

odes

File

s •

Up

to10

Net

wor

ksU

p to

10

Net

wor

ks

•O

utpu

ts:

•1

Net

wor

k (C

itila

bs B

inar

y/G

eoda

taba

se);

•

1 Li

nk a

nd 1

Nod

e (t

ext,

dbf

, bi

nary

Cit

ilabs

, ge

odat

abas

e ta

ble)

•U

p to

30

Prin

t Fi

les

•Va

riab

les:

23

•U

nlim

ited

Lin

k &

Nod

e, 1

5 ch

arac

ter

limit

, re

fere

ncin

g=LI

.#.n

ame

or

NI.

#.na

me,

wor

king

var

iabl

e=_v

arna

me

•E.

g. L

I.2.

dist

ance

;Re

ad in

fro

m li

nk in

put

file

#2

the

dist

ance

var

iabl

e

Tra

inin

g –

Cube

Voya

ger

Net

wor

k

•M

odul

e St

ruct

ure

–Li

nklo

op/N

odel

oop/

Phas

es•

INPU

T:•

Read

ASC

II an

d D

BF f

iles,

re-

code

val

ues

from

any

inpu

t fi

les

spec

ific

ally

de

sign

ated

.

•N

OD

EMER

GE:

•

Read

all

node

dat

a an

d or

gani

ze i

t.

•LI

NKM

ERG

E:•

LIN

KMER

GE:

•Re

ad a

ll lin

k da

ta a

nd p

roce

ss it

(m

ain

phas

e).

•Th

e pr

oces

s co

mpa

res

corr

espo

ndin

g A-

B lin

ks a

cros

s al

l inp

ut n

etw

orks

. It

th

en s

elec

ts l

ink

vari

able

s fr

om e

ach

netw

ork

as p

er y

our

spec

ific

atio

n. T

he

defa

ult

is n

umbe

rs f

rom

the

fir

st in

put

link

file

if n

othi

ng i

s sp

ecif

ied.

•SU

MM

ARY:

•Re

port

resu

lts

ofLI

NKM

ERG

Eph

ase

24

•Re

port

res

ults

of

LIN

KMER

GE

phas

e

A2-117

Tra

inin

g –

Cube

Voya

ger

Cube

Voy

ager

yg

Mat

rix

25

Tra

inin

g –

Cube

Voya

ger

Mat

rix:

Dem

and

Mod

ellin

g an

d M

atri

x M

anip

ulat

ion

•M

atri

x is

pri

mar

ily a

cal

cula

tor.

It

sim

ply

proc

esse

s m

atri

ces,

zon

al d

ata,

or

text

rec

ords

acc

ordi

ng t

o us

er

spec

ifie

d ex

pres

sion

s.•

Inpu

ts m

ay in

clud

e:•

Mat

rice

s•

Zona

l dat

a fi

les

•Re

cord

Dat

a fi

les

•O

utpu

ts m

ay in

clud

e:•

Mat

rice

s•

Prin

t D

ata

file

s•

Reco

rd f

iles

Vari

ous

file

form

ats

for

both

inpu

tan

dou

tput

are

supp

orte

d•

Vari

ous

file

for

mat

s fo

r bo

th in

put

and

outp

ut a

re s

uppo

rted

•U

ser

is r

espo

nsib

le f

or s

peci

fyin

g w

hat

is t

o be

acc

ompl

ishe

d

A2-118

Tra

inin

g –

Cube

Voya

ger

Mat

rix:

Dem

and

Mod

elin

g

•M

odul

e Ba

sics

•

Inpu

ts:

•U

p to

20

mat

rix

file

s (w

/ 25

5 ta

bles

eac

h)•

Up

to 1

0 zo

nal

data

file

s•

1 re

cord

dat

a fi

le o

f as

cii/

dbf

data

(Re

cord

Pro

cess

ing)

•

Up

to 1

0 D

atab

ase

file

s (B

DI P

roce

ssin

g)•

Up

to 2

0 lo

okup

tab

les

Ot

t•

Out

puts

:•

Up

to 2

0 tr

ip m

atri

x fi

les

(w/

255

tabl

es e

ach)

•U

p to

15

reco

rd d

ata

file

s (d

bf f

orm

at)

•U

p to

10

prin

t fi

les

•M

odul

e St

ruct

ure

–IL

OO

P/JL

OO

P•

Allo

ws

upto

999

inte

rnal

tabl

es•

Allo

ws

up t

o 99

9 in

tern

al t

able

s

Tra

inin

g –

Cube

Voya

ger

Mat

rix

–Co

mm

on U

ses

•Co

mm

only

use

d to

:•

Calc

ulat

e ne

w m

atri

x va

lues

•Co

nver

t an

d m

erge

mat

rice

s be

twee

n va

riou

s fo

rmat

s•

Repo

rt v

alue

s fr

om m

atri

ces

and

zona

l da

ta b

y:•

Sele

cted

row

s•

Mar

gina

l sum

mar

ies

(tri

p en

ds,

etc.

)F

diib

i•

Freq

uenc

y di

stri

buti

ons

•Tr

ansp

ose

mat

rice

s•

Gen

erat

e m

atri

ces

•Re

num

ber,

agg

rega

te,

and

disa

ggre

gate

mat

rice

s•

Proc

ess

Reco

rd d

ata

A2-119

Tra

inin

g –

Cube

Voya

ger

Cube

Voy

ager

Hig

hway

Hig

hway

Tra

inin

g –

Cube

Voya

ger

•Fu

ncti

on is

to

build

pat

hs u

sing

net

wor

k lin

ks a

nd e

ithe

r

Purp

ose

and

func

tion

of

Hig

hway

mod

ule

pg

extr

act

path

cos

t/im

peda

nce

mat

rice

s or

ass

ign

trip

s

•In

put

incl

udes

hig

hway

net

wor

k, z

onal

mat

rice

s, z

onal

dat

a,

and

turn

pen

alti

es

•O

utpu

t in

clud

es a

load

ed n

etw

ork,

new

mat

rice

s, t

urni

ng

volu

mes

and

rep

orts

•Ba

sic

defa

ult

oper

atio

ns a

vaila

ble

wit

h th

e us

er c

ontr

ollin

g m

uch

of t

he p

roce

ss

A2-120

Tra

inin

g –

Cube

Voya

ger

Hig

hway

mod

ule

–in

put

and

outp

ut d

ata

type

s

Tra

inin

g –

Cube

Voya

ger

•Ph

ases

–m

ulti

ple

iter

ativ

e lo

ops

Hig

hway

mod

ule

proc

ess

stru

ctur

e

Setu

p

Link

read

pp

•SE

TUP:

init

ializ

e ce

rtai

n va

riab

les

and/

or a

rray

s•

LIN

KREA

D:

obt

ain

requ

ired

init

ial v

alue

s th

at a

nd c

ompu

te

link

valu

es r

efer

ence

d el

sew

here

.•

ILO

OP:

loo

p ac

ross

all

zone

s, b

uild

ing

and

load

ing

min

imum

pa

ths

as r

eque

sted

•AD

JUST

:re

vise

the

link

vari

able

valu

esfo

rou

tput

orus

ein

ILoo

p

Adju

st

ADJU

ST:

revi

se t

he li

nk v

aria

ble

valu

es f

or o

utpu

t or

use

in

the

next

iter

atio

n•

CON

VERG

E: c

heck

to

dete

rmin

e w

heth

er a

ddit

iona

l it

erat

ions

are

nec

essa

ry

•M

etho

ds –

conv

ex c

ombi

nati

ons

•M

ulti

-use

r cl

ass

equi

libri

um,

aver

age

or w

eigh

ted

Conv

erge

assi

gnm

ent,

•

incr

emen

tal a

ssig

nmen

t, a

ll-or

-not

hing

, •

mul

ti-u

ser

clas

s lin

k an

d in

ters

ecti

on c

onst

rain

ed

equi

libri

um a

ssig

nmen

t,

•us

er d

efin

ed…

A2-121

Tra

inin

g –

Cube

Voya

ger

Path

Bui

ldin

g in

Voy

ager

•Pa

ths

are

built

by

orig

in z

one

to A

LL d

esti

nati

ons

zone

s y

gin

the

ILO

OP

Phas

e•

Path

bui

ldin

g:•

init

iate

d w

ith

the

PATH

LOAD

sta

tem

ent

•bu

ilt o

n a

fixe

d se

t of

link

cos

ts f

or c

urre

nt it

erat

ion

and

orig

in z

one

•Th

ePA

TH=

keyw

ord

defi

nes

link

cost

sus

edfo

rpa

thbu

ildin

gTh

e PA

TH k

eyw

ord

defi

nes

link

cost

s us

ed f

or p

ath

build

ing

•M

ulti

ple

path

set

s ca

n be

bui

lt u

sing

mul

tipl

e PA

THLO

AD

stat

emen

ts•

Spec

ific

link

s ca

n be

exc

lude

d fr

om p

ath

sets

•Sk

ims

ofan

ycu

rren

tlin

kat

trib

ute

can

becr

eate

das

Skim

s of

any

cur

rent

link

att

ribu

te c

an b

e cr

eate

d as

pa

ths

are

built

•O

D T

rips

can

be

load

ed t

o PA

TH s

ets

by v

olum

e se

t

Tra

inin

g –

Cube

Voya

ger

Cube

Voy

ager

Gen

erat

ion

A2-122

Tra

inin

g –

Cube

Voya

ger

Gen

erat

ion

•Pr

imar

y fu

ncti

on is

to

proc

ess

zona

l dat

a an

d ge

nera

te

arra

ys o

f pr

oduc

tion

s an

d at

trac

tion

s•

Calc

ulat

ions

and

bal

anci

ng f

unct

ions

are

use

r de

fine

d

•In

put

may

incl

ude

py

•U

p to

10

zona

l dat

a fi

les

•O

utpu

t m

ay in

clud

e•

Up

to 1

0 pr

oduc

tion

and

att

ract

ion

file

s

Tra

inin

g –

Cube

Voya

ger

Gen

erat

ion

PHAS

E=IL

OO

P

•In

thi

s st

ep t

he s

tack

of

calc

ulat

ions

are

per

form

ed o

n ea

ch

pp

zone

.•

The

user

usu

ally

acc

esse

d a

Zona

l Dat

a Fi

le a

nd s

uppl

ies

regr

essi

on e

quat

ions

.•

Scri

pt:

p�

P[1]

=3.2

*ZI.

1.H

OU

SEH

OLD

S�

P[2]

=2.5

*ZI.

1.H

OU

SEH

OLD

S�

P[3]

=1.2

*ZI.

1.H

OU

SEH

OLD

S�

A[1]

=1.6

*ZI.

1.TO

TAL_

JOBS

�A[

2]=3

4*ZI

.1.T

OTA

L_JO

BSA[

3]19

*ZI

1TO

TAL

JOBS

�A[

3]=1

9*ZI

.1.T

OTA

L_JO

BS

A2-123

Tra

inin

g –

Cube

Voya

ger

Gen

erat

ion

PHAS

E=AD

JUST

•Th

is p

hase

is u

sed

to b

alan

ce t

he a

ttra

ctio

n an

d pr

oduc

tion

to

tals

.•

The

user

can

use

the

‘BA

LAN

CE’

func

tion

to

set:

�

Prod

ucti

on T

otal

s to

Att

ract

ion

Tota

ls (

P2A)

�At

trac

tion

Tot

als

to P

rodu

ctio

n To

tals

(A2

P)�

Attr

acti

onTo

tals

toPr

oduc

tion

Tota

lsth

enth

eAt

trac

tion

Tot

als

to P

rodu

ctio

n To

tals

the

n th

e N

umbe

r of

Pro

duct

ions

set

to

the

Num

ber

of A

ttra

ctio

ns (

NH

B)

•Th

is c

an b

e ac

com

plis

hed

usin

g ‘m

ath’

or

the

‘Bal

ance

’ fu

ncti

on.

•Sc

ript

:�

BALA

NCE

A2P

=1,3

NH

B=2

Tra

inin

g –

Cube

Voya

ger

Cube

Voy

ager

D

istr

ibut

ion

A2-124

Tra

inin

g –

Cube

Voya

ger

Dis

trib

utio

n

•U

ses

the

num

ber

of t

rip

ends

in e

ach

zone

as

the

star

ting

pg

poin

t. T

hese

‘m

argi

n’ t

otal

s ar

e di

stri

bute

d to

the

row

s an

d co

lum

n of

a g

ener

ated

mat

rix.

•Th

e di

stri

buti

on is

wei

ghte

d by

the

‘Im

peda

nce’

•Th

e im

peda

nce

is c

alib

rate

d w

ith

a Fr

icti

on F

acto

r Cu

rve.

•M

ost

com

mon

pro

cess

is t

he "

grav

ity"

mod

el,

but

ther

e is

no

auto

mat

ic,

or d

efau

lt,

trip

dis

trib

utio

n pr

oces

s.•

Inpu

t m

ay in

clud

e:•

Up

to 2

0 m

atri

x fi

les,

1 t

ext

data

file

of

data

(fr

icti

on f

acto

rs).

Up

to 1

0 pr

oduc

tion

an

dat

trac

tion

file

san

d at

trac

tion

file

s

•O

utpu

t m

ay in

clud

e:•

Up

to 3

2 tr

ip m

atri

x fi

les

Tra

inin

g –

Cube

Voya

ger

Voya

ger

Mat

rix

for

Mod

al

Choi

ce

A2-125

Tra

inin

g –

Cube

Voya

ger Mod

e Sp

lit –

Choi

ce M

odel

ling

XCH

OIC

E C

omm

and

ALTE

RNAT

IVES

Dfi

hl

ih

i(

CPT

)AL

TERN

ATIV

ES=…

; D

efin

eea

chal

tern

ativ

ech

oice

(eg

. Ca

r, P

T)D

EMAN

DM

W=…

; D

efin

e in

put

trip

mat

rix

to b

e sp

litCO

STSM

W=…

;

Def

ine

cost

mat

rice

s fo

r ea

ch a

lter

nati

veO

DEM

AND

MW

=…

;

Def

ine

wor

king

mat

rice

s to

sto

re o

utpu

t tr

ipm

atri

ces

for

each

alt

erna

tive

STAR

TMW

=…;

Def

ine

a w

orki

ng m

atri

x fo

r in

tern

al c

alcu

lati

onSP

LIT=

…;

Def

ine

the

choi

ce m

odel

(i.

e. s

truc

ture

and

;

scal

e)

Choi

ce M

odel

s th

at c

an b

e de

velo

ped

in C

ube

incl

ude:

Sim

ple

bina

ry o

r m

ulti

nom

ial;

hie

rarc

hic;

des

tina

tion

cho

ice

Abso

lute

or

incr

emen

tal

Cost

or

utili

ty b

ased

Tra

inin

g –

Cube

Voya

ger

Mod

e Sp

lit –

Abso

lute

Mod

el

•Lo

git

Curv

e Fo

rmul

a (c

ost-

base

d m

odel

):

Pr(PT)= exp(-�x GC(PT))/[exp(-�x GC(PT)) + exp(-�x GC(Car))]

Pr(Car)= exp(-�x GC(Car))/[exp(-�x GC(PT)) + exp(-�x GC(Car))]

•W

here

PR

= Pr

obab

ilit y

of

use

(Mod

e)y

()

GC=

Gen

eral

ised

Cos

t (M

ode

–in

clud

es m

ode-

spec

ific

co

nsta

nt)

�=

Lam

bda

; de

fine

s “s

lope

” or

sen

siti

vity

to

cost

A2-126

Tra

inin

g –

Cube

Voya

ger

Mod

e Sp

lit –

Logi

t Cu

rve

Exam

ple

43

Tra

inin

g –

Cube

Voya

ger

Publ

ic T

rans

port

Assi

gnm

ent

Proc

edur

es

44

A2-127

Tra

inin

g –

Cube

Voya

ger

Publ

ic T

rans

port

•Pr

imar

y fu

ncti

on is

to

assi

gn t

rips

to

publ

ic t

rans

port

net

wor

k se

rvic

es

•In

put

incl

udes

hig

hway

net

wor

k, z

onal

mat

rice

s, f

are

str

uctu

re a

nd

rout

e ch

oice

fac

tors

•O

utpu

t in

clud

es a

load

ed n

etw

ork,

new

mat

rice

s, P

T pa

tron

age

and

repo

rts

45

Tra

inin

g –

Cube

Voya

ger

Publ

ic T

rans

port

•In

puts

:•

1 hi

ghw

ay n

etw

ork

•U

p to

10 t

rip

mat

rice

s•

1 sy

stem

file

U

pto

10fa

ctor

file

s

•O

utpu

ts:

•1

line

file

•1

netw

ork,

•

Up

to 4

DBF

link

file

•

Up

to10

mat

rice

s•

Up

to 1

0 fa

ctor

file

s•

Up

to 1

5 lin

e fi

les

•U

p to

5 N

TLEG

file

s •

Up

to 1

0 ro

ute

file

s•

1 Sc

reen

line

data

file

•U

p to

10

mat

rice

s,•

1 N

TLEG

File

, •

1 Re

port

File

, •

Up

to 1

0 Ro

ute

File

s•

5 D

BF S

top

to S

top

file

46

•U

p to

5 lo

okup

file

s•

Up

to 2

0 Pr

int

file

s•

1 in

terc

ept

file

for

Cub

e An

alys

t•

1 sc

reen

line

file

for

Cub

e An

alys

t

A2-128

Tra

inin

g –

Cube

Voya

ger

Publ

ic T

rans

port

•Pr

oces

ses

•Co

nstr

uct

PT N

etw

ork

•Pe

rfor

mRo

ute

Enum

erat

ion

-Is

a p

roce

ss o

f fi

ndin

g on

e or

mor

e di

scre

te r

oute

s be

twee

n zo

ne p

airs

, w

hich

hav

e so

me

prob

abili

ty o

f be

ing

used

by

pass

enge

rs t

o tr

avel

bet

wee

n th

e zo

nes

•Pe

rfor

m R

oute

Eva

luat

ion

-Is

a p

roce

ss t

o ca

lcul

atin

g th

e 'p

roba

bilit

yp

gp

yof

use

' of

each

of

the

enum

erat

ed r

oute

s be

twee

n zo

ne p

airs

•

Skim

cos

ts•

Assi

gn P

T Tr

ip

47

Tra

inin

g –

Cube

Voya

ger

Publ

ic T

rans

port

•Ro

ute

Eval

uati

on C

hoic

e M

odel

s fo

r de

term

inin

g al

tern

ativ

e PT

tP

bbi

liti

PTro

ute

Prob

abili

ties

are:

•W

alki

ng C

hoic

e M

odel

•Is

a lo

git

mod

el t

o de

term

ine

the

prop

orti

on o

f de

man

d w

hen

alte

rnat

ive

wal

k ch

oice

s ar

e av

aila

ble

•Se

rvic

e Fr

eque

ncy

Mod

el•

Det

erm

ines

the

prop

orti

onof

dem

and

for

com

peti

ngPT

serv

ices

base

dD

eter

min

es t

he p

ropo

rtio

n of

dem

and

for

com

peti

ng P

T se

rvic

es b

ased

up

on s

ervi

ce f

requ

ency

•

Serv

ice

Freq

uenc

y an

d Co

st M

odel

•D

eter

min

es t

he p

ropo

rtio

n of

dem

and

for

com

peti

ng P

T se

rvic

es b

ased

up

on s

ervi

ce f

requ

ency

and

tra

vel c

ost

•Al

ight

ing

Mod

el•

Isa

logi

tm

odel

tode

term

ine

the

prop

orti

onof

dem

and

whe

nth

ere

are

48

•Is

a lo

git

mod

el t

o de

term

ine

the

prop

orti

on o

f de

man

d w

hen

ther

e ar

e tw

o or

mor

e va

lid a

light

ing

poin

ts

A2-129

Tra

inin

g –

Cube

Voya

ger

Publ

ic T

rans

port

•As

sign

men

t Ty

pes:

•M

ulti

-rou

ting

•

Mul

ti-r

outi

ng w

ith

crow

d m

odel

ling

•Al

l or

Not

hing

(bes

t pa

th)

g(

p)

•N

ote:

All

or N

othi

ng c

anno

t be

use

d in

co

njun

ctio

n w

ith

Crow

d M

odel

ling

49

Tra

inin

g –

Cube

Voya

ger

Publ

ic T

rans

port

–PT

Lin

es In

put

File

•PT

Lin

es F

ile s

umm

aris

esPT

ser

vice

info

rmat

ion

usin

g th

e LI

NE

Cont

rol

stat

emen

t an

d th

e fo

llow

ing

keyw

ords

:

•M

OD

E=nu

m;

defi

nes

the

serv

ice’

s m

ode,

eg.

Tra

in,

bus

•H

EAD

WAY

[num

]=nu

m;

defi

nes

the

serv

ice’

s he

adw

ay in

min

utes

, up

to

five

al

tern

ativ

e he

adw

ays

can

be s

tore

d •

VEH

ICLE

TYPE

=num

; de

fine

s ve

hicl

e ty

pe c

hara

cter

isti

cs a

s sp

ecif

ied

in

the

syst

emfi

let

esy

ste

le•

NO

DE=

num

;

spec

ifie

s th

e lis

t of

seq

uent

ial n

odes

tha

t th

e PT

se

rvic

e tr

avel

s al

ong

•N

ode

has

man

y th

e su

b ke

ywor

ds in

clud

ing:

•SP

EED

=num

; de

fine

s sp

eed

betw

een

node

s•

DEL

AY=n

um

;

adds

add

itio

nal l

ink

tim

e be

twee

n tw

o no

des

50

•Cu

be b

ase

sum

mar

ises

the

info

rmat

ion

in a

gra

phic

for

mat

for

eas

y ed

itin

g.

A2-130

Tra

inin

g –

Cube

Voya

ger

Publ

ic T

rans

port

–Sy

stem

Inpu

t Fi

les

•PT

Sys

tem

File

con

tain

s in

form

atio

n th

at d

efin

es:

•Pu

blic

tra

nspo

rt m

odes

(i.

e. m

ode

ID a

nd n

ame)

•O

pera

tors

of

publ

ic t

rans

port

(i.

e. b

us a

nd t

rain

com

pani

es)

•Ve

hicl

es t

ypes

(inc

ludi

ng,

vehi

cle

num

ber

ID,

seat

cap

acit

y, c

rush

yp

(g,

,p

y,ca

paci

ty,

crow

ding

cur

ve,

load

dis

trib

utio

n fa

ctor

for

eac

h ve

hicl

e ty

pe)

•W

ait

curv

es f

or b

oth

init

ial b

oard

ing

and

tran

sfer

s•

Crow

ding

adj

ustm

ent

curv

es f

or c

row

ing

mod

ellin

g

•N

ode:

Cube

Base

prov

ides

agr

aphi

cin

terf

ace

for

defi

ning

51

•N

ode:

Cub

e Ba

se p

rovi

des

a gr

aphi

c in

terf

ace

for

defi

ning

th

is d

ata

Tra

inin

g –

Cube

Voya

ger

Publ

ic T

rans

port

–Ex

ampl

e

AB

104

min

s

100

min

s (b

est r

oute

) 102

min

s

106

min

s

52

106

min

s

A2-131

Intr

oduc

tion

to F

reig

ht F

orec

astin

g W

ith

Cub

e C

argo

Ben

efits

of F

reig

ht M

odel

ing

•T

o A

nsw

er P

olic

y Q

uest

ions

•Ef

fect

s of

alt

erna

tive

gro

wth

sce

nari

os o

n fr

eigh

t m

ovem

ent

•W

hat i

f reg

iona

l dev

elop

men

t pa

ttern

s ch

ang

e?•

Wha

t if m

ajo

r fre

ight

faci

litie

s are

dev

elop

ed?

•Ef

fect

s of

alt

erna

tive

pol

icie

s on

fre

ight

mov

emen

tp

g•

Wha

t if t

olls

wer

e in

crea

sed

?•

Wha

t if t

he p

rice

of fu

el c

ontin

ues t

o in

crea

se?

•Im

pact

s of

maj

or p

roje

cts

on f

reig

ht m

ovem

ent

•W

hat i

f a tw

o-la

ne U

S hi

ghw

ay w

as w

iden

ed to

four

lane

s?•

Wha

t if m

ajo

r acc

ess i

mp

rove

men

ts to

a re

gion

wer

e ad

vanc

ed?

jp

g

A2-132

Intr

oduc

ing

Cub

e C

argo

•G

ener

atio

n: e

stim

ates

ann

ual t

ons

of c

omm

oditi

es

prod

uced

and

con

sum

ed b

y zo

ne b

y co

mm

odity

cla

ss

•D

istr

ibut

ion:

dis

trib

utes

goo

ds b

y co

mm

odity

cla

ss

•M

ode

Cho

ice:

est

imat

e m

odal

sha

res

of lo

ng-h

aul f

low

s

•Lo

gist

ics

Nod

esM

odel

:par

titio

nsth

elo

ng-h

aulm

atric

esby

•Lo

gist

ics

Nod

esM

odel

:par

titio

nsth

elo

ng-h

aulm

atric

esby

mod

e an

d co

mm

odity

cla

ss in

to d

irect

flow

s an

d tr

ansp

ort

chai

n flo

ws

•F

ine

Dis

trib

utio

n M

odel

: for

eac

h of

the

mat

rices

re

dist

ribut

es fr

om c

oars

e zo

nes

to th

e fin

e zo

nes

•V

ehic

le M

odel

: con

vert

s th

e es

timat

ed a

nnua

l com

mod

ity

flow

s by

truc

k in

to n

umbe

r of

hea

vy tr

ucks

and

ligh

t tru

cks

•S

ervi

ce M

odel

: est

imat

es d

aily

urb

an s

ervi

ce tr

uck

trip

s

The

Cub

e C

argo

Mod

el

•M

ain

Inte

rfac

e fo

r R

unni

ng th

e C

ube

Car

go M

odel

to te

st

alte

rnat

ive

scen

ario

s

A2-133

The

Cub

e C

argo

Mod

el

•C

ube

Car

go m

odel

with

Voy

ager

mod

ules

for

prep

arin

g an

d an

alys

ing

data

and

res

ults

Net

wor

k D

ata

Pre

-Pro

cess

ing

•V

oyag

er m

odul

es (

HIG

HW

AY

, NE

TW

OR

K, P

UB

LIC

T

RA

NS

PO

RT

, MA

TR

IX)

can

be u

sed

to e

valu

ate

netw

ork

inpu

ts to

Car

go

A2-134

Cub

e C

argo

Mod

el P

roce

ss

•C

ube

Car

go m

odul

es c

alcu

latin

g pr

oduc

tion

of v

olum

es

and

tons

of g

oods

and

bre

akin

g th

is d

own

to O

D fl

ows

and

OD

veh

icle

trip

s

Gen

erat

ion

•R

egre

ssio

n m

odel

s on

soc

ioec

onom

ic

attr

ibut

es (z

onal

dat

a) a

nd c

onst

ants

by

com

mod

ity c

lass

and

cou

ntry

(p

aram

eter

s.ge

nfun

par)

•U

se o

f spe

cial

gen

erat

ors

to r

epre

sent

ex

tern

al g

ener

ated

com

mod

ities

: por

ts b

y lo

catio

n of

faci

lity

and

com

mod

ity c

lass

(m

anip

ulat

ion.

shift

and

man

ipul

atio

n.zo

nesh

ift)

•T

rend

rate

s to

rep

rese

nt p

rodu

ctio

n ef

ficie

ncie

san

dot

her

fact

ors

not

Ext

erna

l zon

es c

ontr

olle

d w

ith ‘s

hift’

/ “s

ingp

oint

” va

riabl

es to

fix

impo

rts

and

expo

rts

by c

omm

odity

cla

ss a

nd tr

end

rate

s

effic

ienc

ies

and

othe

rfa

ctor

sno

tre

pres

ente

d in

the

regr

essi

on m

odel

s by

co

mm

odity

cla

ss a

nd c

ount

ry

(par

amet

ers.

valu

eden

se)

•U

ser

spec

ified

val

ues

for

the

amou

nt o

f pr

oduc

tion

expo

rted

to e

xter

nal z

ones

and

th

e am

ount

impo

rted

to th

e in

tern

al z

ones

by

com

mod

ity c

lass

. (p

aram

eter

s.ex

pim

pfra

ctio

n)

Td

tt

ttd

ith

TLN

hav

e no

pro

duct

ion

and

cons

umpt

ion

•T

rend

rate

sto

rep

rese

nttr

ends

inth

ele

vel o

f im

port

and

exp

ort.

(par

amet

ers.

expi

mpt

rend

)

Inte

rnal

Are

aE

xter

nal A

rea

Ext

erna

l Zon

eT

LNS

tudy

Are

aP

rodu

ctio

n an

d co

nsum

ptio

n by

com

mod

ity

clas

s an

d co

untr

y ba

sed

on s

ocio

econ

omic

at

trib

utes

of t

he z

ones

and

tren

d ra

tes

(effi

cien

cies

)

A2-135

Dis

trib

utio

n•

Use

r as

sum

ptio

n on

per

cent

age

of g

oods

that

ar

e to

be

cons

ider

ed s

hort

-hau

l and

long

-hau

l by

com

mod

ity c

lass

(pa

ram

eter

s.ne

arfr

actio

n)

•T

rend

rate

s to

rep

rese

nt c

hang

es in

sho

rt-h

aul

and

long

-hau

l per

cent

ages

by

com

mod

ity

clas

s (p

aram

eter

s.ne

arfr

actr

end)

.

•S

hort

-hau

l trip

s ar

e co

nsid

ered

to b

e tr

ansp

orte

d by

truc

k an

d ar

e di

strib

uted

usi

ng

grav

ity m

odel

s by

com

mod

ity c

lass

Im

peda

nce

is c

ost.

(par

amet

ers.

near

dist

ribut

ion)

.

Set

ass

umpt

ion

(%)

and

tren

d ra

tes

on

wha

t is

shor

t-an

d lo

ng-h

aul f

low

by

com

mod

ity c

lass

Sho

rt-h

aul f

low

s w

ill b

e tr

uck

only

and

di

strib

uted

with

gra

vity

mod

els

(par

amet

ers.

near

dist

ribut

ion)

.

•S

egm

ents

the

rem

aini

ng lo

ng-h

aul f

low

s in

to

thos

e re

mai

ning

‘int

erna

l’ an

d th

ose

rem

aini

ng

‘ext

erna

l’ by

com

mod

ity c

lass

. (zo

nal

data

.fore

ignf

ract

ion)

•A

djus

ts in

tern

al a

nd e

xter

nal f

ract

ions

by

user

as

sum

ptio

n on

tren

ds b

y co

mm

odity

cla

ss

(zon

al d

ata.

fore

ignt

rend

).

•D

istr

ibut

es in

tern

al, i

mpo

rt a

nd e

xpor

t lon

g-p

pg

haul

flow

s us

ing

grav

ity m

odel

s by

com

mod

ity

clas

s. (

para

met

ers.

long

dist

ribut

ion)

Im

peda

nce

is a

gen

eral

ized

cos

t usi

ng a

line

ar

com

bina

tion

of ti

me,

dis

tanc

e an

d co

st b

y m

ode

wei

ghte

d by

the

mod

e ch

oice

co

effic

ient

s. (p

aram

eter

s.m

dspp

ar).

Inte

rnal

Are

aE

xter

nal A

rea

Ext

erna

l Zon

eT

LNS

tudy

Are

a

Ext

erna

l fra

ctio

ns s

et b

y us

er p

lus

tren

ds

Mod

e C

hoic

e

•F

or L

ong-

Hau

l Onl

yE

stim

ate

perc

enta

getr

uck

rail

and

air

by

•M

ultin

omia

l log

it m

odel

s by

co

mm

odity

dis

tanc

e cl

ass

Est

imat

epe

rcen

tage

truc

k,ra

ilan

dai

rby

com

mod

ity c

lass

bas

ed o

n do

or-t

o-do

or

ship

men

t tim

e an

d sh

ipm

ent c

ost a

nd

cons

tant

Onl

y fo

r lo

ng-h

aul f

low

s

•C

hoic

e m

odel

s us

e by

mod

e an

d co

mm

odity

cla

ss•

Tim

e•

Cost

•Co

nsta

ntIn

tern

al A

rea

Ext

erna

l Are

aE

xter

nal Z

one

TLN

Stu

dy A

rea

A2-136

Logi

stic

s N

ode

Mod

el

•P

artit

ions

the

long

-hau

l m

atric

esby

mod

ean

dm

atric

esby

mod

ean

dco

mm

odity

cla

ss in

to d

irect

and

T

LN fl

ows

•de

finiti

on o

f zon

e lo

catio

n of

T

LNs

and

the

zone

s th

at th

ey

serv

e (t

ln.tl

ntab

le);

(t

ln.tl

nser

vedz

ones

);(t

ltl

dt

)

Def

ine

loca

tion

of T

LN

Def

ine

serv

ice

area

ofT

LN

Par

titio

ns in

to L

ong-

Hau

l D

irect

Flo

ws

by m

ode

(tln

.tlns

erve

dou

terz

ones

).

•de

finiti

on o

f dire

ctio

nalit

y of

T

LN fl

ows

and

sele

ctio

n of

TLN

us

ing

tlnw

eigh

troa

d,

tlnw

eigh

ttrai

nan

d tln

wei

ghts

hip.

•pr

oduc

tis

mat

rices

by

Def

ine

serv

ice

area

ofT

LN

•pr

oduc

tis

mat

rices

byco

mm

odity

gro

up s

egm

ente

d in

to:

•Lo

ng-h

aul d

irec

t fl

ows

by m

ode

(tru

ck,

rail

and

air)

•Lo

ng-h

aul t

o/fr

om T

LN f

low

s by

mod

e (t

ruck

, ra

il an

d ai

r)•

Shor

t-ha

ul t

o/fr

om T

LN f

low

s by

tru

ck

Inte

rnal

Are

aE

xter

nal A

rea

Ext

erna

l Zon

eT

LNS

tudy

Are

a

Par

titio

ns in

to L

ong-

Hau

l TLN

F

low

s an

d S

hort

-Hau

l TLN

F

low

s by

mod

e

Fin

e D

istr

ibut

ion

Mod

el

•D

istr

ibut

es m

odel

s fr

om c

oars

e zo

nesy

stem

tofin

ezo

nesy

stem

Allo

cate

Des

tinat

ions

with

zone

syst

emto

fine

zone

syst

em

•T

he fi

ne z

ones

are

sm

alle

r an

d ne

sted

und

er a

coa

rse

zone

. T

hese

flow

s ar

e di

strib

uted

to th

e fin

e zo

nes

enco

mpa

ssed

by

the

coar

se z

one

usin

g:30

252510

Allo

cate

Des

tinat

ions

with

Wei

ghts

bas

ed o

n so

cioe

cono

mic

dat

aD

istr

ibut

e fr

om fi

ne o

rigin

to fi

ne

dest

inat

ion

usin

g gr

avity

mod

els

•a

wei

ght

to e

stab

lish

a sm

all

sub-

mat

rix

of t

he f

ine

zone

mat

rix

base

d on

par

amet

ers

and

fine

zo

ne l

evel

zon

al d

ata.

•

and

a gr

avit

y m

odel

usi

ng,

dist

ance

as

the

impe

danc

e, t

o in

fill

the

indi

vidu

alce

llva

lues

.

10 152525

35

infi

ll th

e in

divi

dual

cel

l va

lues

. •

It is

pos

sibl

e to

ove

rrid

e th

ese

mod

els

to r

epre

sent

par

ticu

lar

poin

ts in

the

sys

tem

. F

ine

Zon

eC

oars

e Z

one

15

Allo

cate

Orig

ins

with

Wei

ghts

ba

sed

on s

ocio

econ

omic

dat

a

A2-137

Fro

m fl

ows

to v

ehic

le m

odel

s

�G

ener

atio

n gi

ves

P &

A b

y zo

ne

and

com

mod

ity c

lass

Gen

era

tio

nC

oars

e zo

ne le

vel

�D

istr

ibut

ion

dist

ribut

es tw

o se

ts o

f m

atric

es:

–sh

ort-

haul

flow

s by

com

mod

ity

clas

s w

hich

are

ass

umed

to b

e tr

uck

flow

s; a

nd–

long

-hau

l flo

ws

by c

omm

odity

cl

ass

whi

ch g

o to

mod

e ch

oice

�M

ode

Cho

ice

split

s th

e lo

ng-h

aul

flow

s in

to lo

ng-h

aul f

low

mat

rices

by

mod

e an

d co

mm

odity

cla

ss

P &

A b

y C

C

Dis

trib

uti

on

Dire

ct S

hort

-Hau

l Flo

ws

by C

C b

y T

ruck

Long

-Hau

l Flo

ws

by C

C

Mo

de

Ch

oic

e

�T

he lo

ng-h

aul m

odal

mat

rices

from

M

ode

Cho

ice

are

segm

ente

d in

to

flow

s th

at:

–tr

avel

dire

ctly

from

zon

e of

pr

oduc

tion

to z

one

of c

onsu

mpt

ion

(Dire

ct lo

ng h

aul f

low

s by

co

mm

odity

cla

ss)

and,

–flo

ws

that

will

use

a T

LN.

The

flo

ws

that

go

via

TLN

s ar

e se

gmen

ted

into

: •

shor

t hau

l seg

men

t by

mod

e an

d co

mm

odity

cla

ss•

long

-hau

l seg

men

t by

mod

e an

d co

mm

odity

cla

ss

Long

Hau

l Flo

ws

by M

ode

& C

C

TL

N

Dire

ct L

ong-

Hau

l Flo

ws

by M

ode

& C

CS

hort

-Hau

l Flo

ws

to T

LN b

y T

ruck

& C

CLo

ng-H

aul F

low

s to

TLN

by

Mod

e &

CC

Fin

e D

istr

ibu

tio

n

Dire

ct S

hort

-Hau

l Flo

ws

by C

C b

y T

ruck

Dire

ct L

ong-

Hau

l Flo

ws

by M

ode

& C

CS

hort

-Hau

l Flo

ws

to b

y tr

uck

& C

CLo

ng-H

aul F

low

s to

TLN

by

Mod

e &

CC

Fin

e zo

ne le

vel

Tou

ring

Veh

icle

Mod

el

•V

ehic

les

are

assu

med

to

hav

e th

e sa

me

star

t an

d en

d zo

ne b

ut

mak

e in

term

edia

te

stop

s to

load

and

un

load

.G

ener

ated

tour

from

a T

LN a

nd

back

doin

gpi

ckup

san

ddr

op-o

ffs

•H

eavy

com

puta

tions

so

lim

it us

e to

TLN

an

d se

lect

ed z

ones

.

•E

stim

ates

num

ber

of

vehi

cles

base

dat

the

back

doin

gpi

ckup

san

ddr

opof

fs

vehi

cles

base

dat

the

orig

in u

sing

the

flow

s fr

om th

at z

one

and

aver

age

load

fact

ors.

Inte

rnal

Are

aE

xter

nal A

rea

Ext

erna

l Zon

eT

LNS

tudy

Are

a

A2-138

Sta

ndar

d V

ehic

le M

odel

•M

odel

ass

umes

that

all

vehi

cles

mak

e tr

ips

of th

e fo

rm A

-B-A

.

•R

etur

n lo

ad is

a fu

nctio

n of

the

com

mod

ity fl

ow in

th

eop

posi

tedi

rect

ion

By

defa

ult,

the

stan

dard

mod

el c

reat

es d

irect

ro

und

trip

s be

twee

n th

e tw

o zo

nes.

The

pr

obab

ility

of a

ret

urn

load

dep

ends

on

the

flow

of

goo

ds in

the

‘bac

k di

rect

ion’

With

the

use

of ‘B

ig Z

ones

’ can

incl

ude

neig

hbor

ing

zone

s w

hen

calc

ulat

ing

prob

abili

ty

of a

ret

urn

load

. T

his

gene

rate

s a

sim

ple

tour

.

the

oppo

site

dire

ctio

n.

•C

an m

odify

usi

ng ‘b

ig

zone

s’ e

nlar

ging

the

area

co

nsid

ered

for

a re

turn

lo

ad

A ‘B

ig Z

one’

load

.

Inte

rnal

Are

aE

xter

nal A

rea

Ext

erna

l Zon

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Are

a

Veh

icle

Mod

els

•T

he v

ehic

le m

odel

s ca

n pr

ovid

e th

ree

truc

k m

atric

es fo

r as

sign

men

t to

a ro

adw

ay n

etw

ork:

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eavy

long

-hau

l tru

cks

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eavy

sho

rt-h

aul t

ruck

s•

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t sh

ort-

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y de

faul

t, th

ese

mat

rices

are

ann

ual t

ruck

flow

s si

nce

we

estim

ate

annu

al c

omm

odity

flow

s. M

atrix

m

anip

ulat

ion

can

be u

sed

to e

stim

ate

daily

and

hou

rly

flow

sby

seas

onif

sode

sire

d.flo

ws

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ason

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red.

A2-139

Ser

vice

Trip

s

•A

ll m

odel

ing

to th

is p

oint

con

cern

s th

e m

ovem

ent o

f go

ods.

•T

he s

ervi

ce m

odel

is u

sed

to e

stim

ate

urba

n se

rvic

e tr

uck

trip

s su

ch a

s:•

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ir m

en (

e.g.

ele

vato

r re

pair

)•

Smal

l sho

pkee

per

taki

ng g

oods

fro

m a

who

lesa

ler

to a

loca

l re

stau

rant

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c.

•U

sed

dire

ctly

on

the

fine

zone

sys

tem

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stim

ates

gen

erat

ion

usin

g re

gres

sion

mod

els

base

d on

zone

type

and

soc

ioec

onom

ic d

ata

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rips

are

dist

ribut

ed u

sing

gra

vity

mod

els.

Ass

ignm

ent

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atrix

man

ipul

atio

n to

est

imat

e da

ily o

r ho

urly

truc

k tr

ips

for

assi

gnm

ent

•A

ll of

not

hing

ass

ignm

ent o

n ca

rgo

road

way

net

wor

k

A2-140

Cub

e C

argo

–M

odel

Inte

rfac

es

•M

odel

str

uctu

re s

et u

p in

Cub

e’s

App

licat

ion

Man

ager

Cub

e C

argo

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odel

Dat

a an

d P

aram

eter

s

A2-141

Cub

e C

argo

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odel

Dat

a an

d P

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eter

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S E

xcel

tabl

es u

sed

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tore

& in

put m

odel

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amet

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op

tions

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tem

info

rmat

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argo

exp

ects

mul

tiple

she

ets

in e

ach

Exc

el fi

le

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equi

red

colu

mn

labe

ls m

ust b

e in

firs

t wor

kshe

et r

ow

Cub

e C

argo

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etai

led

Des

crip

tions

•M

etho

dolo

gy a

nd d

ata

inpu

ts fo

r th

e C

argo

pro

gram

s

A2-142

•M

AIN

MO

DE

L D

EF

INIT

ION

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odel

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crip

tions

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Cub

e C

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ata

in M

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xcel

file

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puts

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val

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iabl

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lled

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r co

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try

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gce

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e ti

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ears

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om t

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ase

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the

year

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ch

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go is

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ng r

un.

A2-143

Car

go P

RO

DU

CT

ION

-In

put D

ata

Str

uctu

reZ

on

e.B

as

eD

ata

zo

ne

[Mod

elS

truc

ture

Dat

aInf

oN

ame]

Zo

ne

.Fu

ture

Da

ta

zo

ne

[Mod

elS

truc

ture

Dat

aInf

oN

ame]

Man

.Zo

neS

hif

ts

zo

ne

[Mod

elS

hiftI

nfo

Shi

ft]

Vo

l.V

olu

me

zo

ne

cd

gro

up

emis

tons

/yr

dest

tons

/yr

expo

rt to

ns/y

rim

port

tons

/yr

[Mod

el.S

truc

ture

Dat

aInf

o.N

ame]

[Mod

el.S

truc

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o.N

ame]

[Mod

el.S

hiftI

nfo.

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ft]

Zo

ne

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zo

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port

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ase

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ren

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cd

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row

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r.G

en

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up

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isD

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t

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t

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el.S

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ra.V

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en

se

cd

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un

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emis

dest

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sidu

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row

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pp

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rate

s

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del.S

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de

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fo

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de

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Car

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e de

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pc =

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amet

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or c

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odit

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aul D

eter

renc

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e Cu

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argo

gen

eral

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t: t

his

is t

he c

ompo

site

cos

t de

rive

d fr

om t

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git

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plit

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cal

ibra

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he t

ime,

in y

ears

, fr

om t

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ase

year

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year

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ch

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go is

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ng r

un.

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Car

go M

OD

E D

IST

RIB

UT

ION

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put D

ata

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on

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ran

sit

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on

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nZ

on

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ore

ign

Tre

nd

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ne

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ns

itG

row

th

zo

ne

[ext

erna

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dg

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emis

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pro

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gro

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dest

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attr

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row

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Zo

ne

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arF

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n

zo

ne

[ext

erna

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dg

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p

emis

gene

rate

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ort-

haul

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stat

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ted

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ne

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zo

ne

[ext

erna

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rou

p

dest

expo

rt a

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ess

emis

impo

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s

Zo

ne

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dest

grow

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…

emis

grow

th ra

te in

…

Pa

ra.D

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de

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el•

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ized

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ity g

roup

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e

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tota

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e in

min

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irect

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etar

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st

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A2-145

Car

go L

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IST

IC N

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ES

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put D

ata

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rve

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on

es

zs

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tern

alco

arse

zone

)

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LN

Fra

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oa

d

cd

gro

up

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Fra

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rain

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N.T

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Fra

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Tab

le

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1(in

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alco

arse

zone

)

TL

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LN

Se

rve

dO

ute

rZo

ne

s

zs

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xter

nal c

oars

e zo

ne)

cd

gro

up

Wei

ghtE

mis

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dW

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tEm

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ain

Wei

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rain

Em

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es

t

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s

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mis

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Wei

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avel

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ip

colle

cted

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at T

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igh

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de

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isD

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t

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el.C

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e]

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de

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fo

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de

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eD

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iptio

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igh

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isD

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t

[Mod

el.C

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e]

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LN

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igh

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ip

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co

de

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isD

es

t

[Mod

el.C

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e]

Car

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INE

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TR

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un

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raP

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isD

est

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lag

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um

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ear’

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)

Con

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one

wei

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erm

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odel

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uctu

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ataI

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e]

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ne

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ra.P

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is

cd

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up

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ing

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e fie

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ne

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del.

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on

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ne

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e

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ium

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5.1.

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A2-164

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nspo

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3

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A2-165

�G

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s

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A2-166

Intr

oduc

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A2-167

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A2-168

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oduc

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ls increase

rea size increases

Ass

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rosc

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A2-169

Intr

oduc

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acro

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valu

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A2-170

Wha

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A2-171

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12

34

56

78

910

1112

Demand�

Time�Segm

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dem

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A2-172

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A2-173

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A2-174

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easu

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rsec

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mes

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ary

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cts

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one

inte

rsec

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mer

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Dyn

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24

A2-175

Con

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the

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acro

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Mic

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ecto

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aile

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twor

k an

d us

e be

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Agg

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A2-176

The

tem

pora

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ggre

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Dem

and

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As

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e A

venu

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ses

the

vario

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kind

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as

sign

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bt

diff

t

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Cos

ts

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diffe

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m

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and

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s

Disaggreg

A2-177

Exa

mpl

e: D

isag

greg

atin

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acke

ts6 345 Segment 012 Trips /

Dep

artu

re ti

mes

ch

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ran

dom

ly

(uni

form

dist

ribut

ion)

0:00

-0:

150:

15 -

0:30

0:30

-0:

450:

45 -

1:00

Tim

e

An

inte

rnal

ran

dom

num

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gene

rato

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ly d

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s a

depa

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are

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ando

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the

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pote

ntia

lly

dist

inct

seto

flin

kco

sts

(by

time

segm

ent)

Pr(

t)

cons

tant

dist

inct

seto

flin

kco

sts

(by

time

segm

ent)

�Im

plie

s th

at w

e co

uld

build

a n

ew p

ath

for

ever

y pa

cket

gen

erat

ed! (

very

exp

ensi

ve)

�W

e ca

n re

duce

the

num

ber

of p

ath

build

s re

quire

d by

def

inin

g so

me �t

durin

g w

hich

de

part

ures

take

effe

ctiv

ely

the

sam

e pa

th

Sta

rt T

SE

nd T

St

�P

AR

AM

ET

ER

S M

AX

PT

HP

ER

SE

G:

Upp

er b

ound

on

the

num

ber

of p

ath

build

s ex

ecut

ed fo

r a

give

n tim

e se

gmen

t, ite

ratio

n,

and

orig

in (

Def

aults

to 5

).

A2-178

Tra

nsla

ting

pack

et p

aths

into

link

flow

s �P

acke

t sim

ulat

or

mov

es p

acke

ts a

long

th

eir

path

�P

acke

ts tr

aver

se li

nks

acco

rdin

gto

spee

d-

Dem

and

Aggregate

acco

rdin

gto

spee

dflo

w fu

nctio

n ou

tput

tim

e�

Mov

emen

t fro

m o

ne

link

to a

noth

er is

re

gula

ted

by “

gate

s”

Rou

tes

Cos

ts

gate

�P

acke

t vol

umes

are

ad

ded

to li

nk fl

ow

volu

mes

upo

n en

try

Flo

ws

Que

ues

Disaggreg

Eve

nt-b

ased

sim

ulat

ion

�C

ube

Ave

nue

sim

ulat

ion

proc

esse

s ev

ents

as

they

are

enc

ount

ered

by

pack

ets

mov

ing

alon

g th

eir

path

s �

Pac

kets

can

be

in o

ne o

f tw

o st

ates

:�

Mov

ing

on a

link

�In

queu

e(w

aitin

gon

alin

k)A

C

Inqu

eue

(wai

ting

ona

link)

�A

veh

icle

may

hav

e to

wai

t if:

�C

ars

leav

ing

a lin

k ex

ceed

its

exit

flow

cap

acity

(C

ap

ac

ity

Con

stra

ints

)�

Car

s en

terin

g a

link

exce

ed it

s en

tran

ce fl

ow c

apac

ity (

Ca

pa

cit

yC

onst

rain

ts)

�T

here

is n

o ro

om fo

r it

on th

e ne

xt li

nk (

Sto

rag

eC

onst

rain

ts)

�T

hese

crit

eria

are

eva

luat

ed b

y A

-B-C

mo

vem

en

t

gate

B

�T

urn

capa

city

is a

lso

chec

ked

if ou

tput

by

a ju

nctio

n m

odel

(in

ters

ectio

n an

alys

is, e

.g. H

CM

200

0)�

Con

stra

int i

s th

e m

inim

um o

f con

stra

ints

at n

ode

A2-179

Gen

eral

Prin

cipl

es: G

ates

�C

apac

ity a

nd s

tora

ge c

onst

rain

ts a

re

mai

ntai

ned

by “

gate

s” o

n ea

ch li

nk�

In p

ract

ice,

min

imum

hea

dway

is u

sed

rath

er

than

max

imum

flow

�C

onsi

der

a2

lane

free

way

link

with

per

lane

2 se

c

gate

�C

onsi

der

a2-

lane

free

way

link

with

per-

lane

flow

cap

acity

of 1

800

vehi

cles

per

hou

r an

d to

tal f

low

cap

acity

of 3

600

vehi

cles

per

hou

r:�

Thi

s is

equ

ival

ent t

o a

head

way

(or

gap

) of

one

sec

/veh

icle

�S

o if

a pa

cket

with

two

vehi

cles

arr

ives

at t

he g

ate,

it

cann

otle

ave

the

link

any

soon

erth

antw

ose

cond

s

gate

cann

otle

ave

the

link

any

soon

erth

antw

ose

cond

saf

ter

the

pack

et a

head

of i

t.

Gen

eral

Prin

cipl

es: Q

ueue

Pro

paga

tion

�T

he n

umbe

r of

Veh

icle

s In

Tra

nsit

(VIT

) on

a

link

is li

mite

d by

the

link

stor

age

�V

IT in

clud

es m

ovin

g an

d qu

eued

veh

icle

s �

VIT

S /

ST

OR

AG

E =

link

occ

upan

cyIf

thi

ii

lik

200

veh/

ln/k

m

�If

ther

eis

no

spac

e re

mai

ning

on

a lin

k,th

en e

nter

ing

pack

ets

will

be

queu

ed�

Thi

s is

ref

erre

d to

as

a “h

oriz

onta

l” qu

eue

�In

pra

ctic

e, s

tora

ge is

the

jam

den

sity

at

min

imu

m v

eh

icle

sp

acin

g

PA

RA

ME

TE

RS

VE

HP

ER

DIS

T

Dis

tanc

e =

0.01

km

Lane

s =

3S

tora

ge =

6 v

ehic

les

�P

AR

AM

ET

ER

SV

EH

PE

RD

IST

:D

ensi

ty p

er la

ne [v

ehic

les/

lane

/dis

tanc

e]

A2-180

Bac

king

up

(0:2

0:15

)

Que

uein

g(0

:38:

07)Que

ue b

egin

s to

form

on

link

104-

105

due

to fl

ow c

onst

rain

t on

105-

106

Flo

w t

o zo

ne 2

con

tinue

s un

impe

ded

beca

use

it do

es n

ot u

se li

nk 1

04-1

05

Blo

cked

(1:0

4:27

)

Flo

w t

o zo

ne 3

que

ues

on li

nk 1

00-1

04

beca

use

ther

e is

no

room

on

104-

105

Flo

w r

ate

to z

one

2 is

now

the

sam

e as

at

the

link

105-

106

bottl

enec

k

Link

100

-104

fills

, blo

ckin

g flo

w to

eith

er

dest

inat

ion

on li

nk 1

03-1

00

Que

ues:

Exp

ecte

d vs

. exc

ess

time

�T

he s

imul

ator

trac

ks

aver

age

time

spen

t in

queu

e, r

efer

red

to a

s “e

xces

s” a

bove

the

“exp

ecte

d” ti

me

give

n

Dem

and

Aggregate

pg

by s

peed

-flo

w�

Vol

ume-

wei

ghte

d av

erag

e ex

cess

tim

e by

link

and

tim

e se

gmen

t is

calc

ulat

ed

fti

lti

Rou

tes

Cos

ts

gate

afte

r si

mul

atio

nfin

ishe

sF

low

sQ

ueue

s

Disaggreg

A2-181

Re-

estim

atin

g lin

k co

sts

by ti

me

segm

ent

�T

he a

ccum

ulat

ed to

tal

link

entr

y flo

ws

prov

ide

V fo

r sp

eed-

flow

func

tion

(TC

[])�

Fac

tore

d to

mod

el

Dem

and

Aggregate

perio

d be

caus

e C

is in

un

its o

f flo

w/M

P�

Fac

tor

= M

P /

TS

�E

xpec

ted

exce

ss

(que

ue)

time

is a

dded

to

estim

ated

time

in

Rou

tes

Cos

ts

gate

toes

timat

edtim

ein

flow

str

eam

�G

ener

aliz

ed C

OS

T

func

tion

appl

ied

by

time

segm

ent

Flo

ws

Que

ues

Disaggreg

Link

-bas

ed c

ost f

eedb

ack

and

dem

and

scal

ing

�C

onge

sted

link

cos

ts

are

used

to b

uild

au

xilia

ry p

aths

for

new

ite

ratio

ns�

Onc

ege

nera

ted

a

Dem

and

Aggregate

Onc

ege

nera

ted,

apa

cket

per

sist

s be

yond

its

itera

tion

and

is r

e-si

mul

ated

�F

low

-bas

ed M

SA

: as

sign

a “

copy

” of

Rou

tes

Cos

ts

gate

initi

al p

acke

t set

with

1/

n flo

w s

calin

g to

pa

ths

Flo

ws

Que

ues

Disaggreg

A2-182

Rou

te a

nd d

epar

ture

tim

e ch

oice

mod

els

(Opt

iona

l)

�P

ath

cost

s (s

kim

s)

can

also

be

extr

acte

d us

ing

TR

AC

E()

fu

nctio

n�

Can

extr

acta

ctua

l

Dem

and

Aggregate

Can

extr

acta

ctua

lsi

mul

ated

pat

h co

sts

from

log

file

�B

ehav

iora

l rou

te a

nd

depa

rtur

e tim

e ch

oice

m

odel

s fo

llow

rea

dily

Rou

tes

Cos

ts

gate

Flo

ws

Que

ues

Disaggreg

Dyn

amic

Tra

ffic

Ass

ignm

ent M

odel

ing

Opt

ions

�E

quili

briu

m –

usua

lly v

ia p

ath-

base

d M

SA

�F

low

-bas

ed im

plem

enta

tion

(CO

MB

INE

=AV

E)

�V

aria

tions

… s

earc

h, “

k-w

orst

”, M

SW

A, “

k-re

set”

�D

ynam

ic p

roce

ss m

odel

s�

Rep

rese

nts

proc

ess

of“le

arni

ng”

link

cost

sR

epre

sent

spr

oces

sof

lear

ning

link

cost

s�

With

in-d

ay o

r be

twee

n-da

ys

�In

crem

enta

l ass

ignm

ent

�C

onve

ntio

nal:

divi

de tr

ips

into

“fr

actio

ns”

and

accu

mul

ate

via

succ

essi

ve lo

adin

g�

By-

time:

trea

t tim

e se

gmen

ts a

s in

crem

ents

A2-183

Spe

cific

Out

put D

ata

of C

ube

Ave

nue

�T

IME

_1: a

vera

ge tr

avel

tim

e on

a li

nk d

urin

g th

e m

odel

per

iod

�T

IME

St_

1: a

vera

ge tr

avel

tim

e on

a li

nk d

urin

g th

e tim

e se

gmen

t t�

CS

PD

_1

: ave

rage

trav

el s

peed

on

a lin

k du

ring

the

mod

el p

erio

d�

SP

EE

DS

t_1: a

vera

ge tr

avel

spe

ed o

n a

link

durin

g th

e tim

e se

gmen

t t�

VfS

MP

_1: v

olum

e of

traf

fic e

nter

ing

a lin

k (v

olum

e fie

ld f

) du

ring

the

sim

ulat

ion

perio

d�

VfS

t_1: v

olum

e of

traf

fic e

nter

ing

a lin

k (v

olum

e fie

ld f

) du

ring

the

time

segm

entt

�V

SM

P_

1: r

esul

t of a

pply

ing

the

V fu

nctio

n to

V1S

MP

_1, V

1SM

P_1

, …�

VS

t_1: r

esul

t of a

pply

ing

the

V fu

nctio

n to

V1S

t_1,

V2S

t_1,

…�

Not

e: V

S <

= C

(+

2*P

AC

KE

TS

IZE

)�

Not

e: T

he e

xtra

2 p

acke

ts a

re d

ue to

cer

tain

exc

eptio

ns th

at m

ay a

rise

at in

ters

ectio

ns

Spe

cific

Out

put D

ata

of C

ube

Ave

nue

�V

ITS

t_1: n

umbe

r of

veh

icle

s in

tran

sit o

n a

link

durin

g th

e tim

e se

gmen

t t�

Not

e: V

ITS

<=

ST

OR

AG

E (

+ 2*

PA

CK

ET

SIZ

E)

�Q

UE

UE

VS

t_1

: ave

rage

num

ber

of v

ehic

les

queu

ing

on a

link

dur

ing

the

time

segm

entt

�N

ote:

QU

EU

EV

S<=

ST

OR

AG

E(+

2*P

AC

KE

TS

IZE

)N

ote:

QU

EU

EV

S<

ST

OR

AG

E(+

2P

AC

KE

TS

IZE

)

�B

LO

CK

VS

t_1: n

umbe

r of

veh

icle

s in

the

queu

e in

the

time

segm

ent t

that

will

rem

ain

in th

e qu

eue

at th

e en

d of

the

sim

ulat

ion

�N

ote:

BLO

CK

VS

<=

QU

EU

EV

S�

Not

e: li

nk a

nd p

ath

flow

s ar

e no

t nec

essa

rily

cons

erve

d be

caus

e th

e m

odel

per

iod

may

end

du

ring

a pa

cket

’s jo

urne

y…

A2-184

Com

paris

on W

ith S

tatic

Ass

ignm

ent

Sta

tic A

ssig

nm

en

t

�A

veh

icle

exi

sts

ever

ywhe

re a

long

its

rou

te d

urin

g pe

riod

�V

aria

bles

do

not c

hang

e ov

er th

e f

Cu

be A

ven

ue

�S

imul

ated

pac

kets

can

onl

y be

in

one

pla

ce a

t a ti

me

�M

odel

per

iod

divi

ded

into

“tim

e t

”ith

ifl

dura

tion

of th

e pe

riod

to b

e m

odel

led

�C

apac

ity c

onst

rain

ts n

ot s

tric

tly

enfo

rced

; V/C

> 1

�N

o lin

k st

orag

e co

nstr

aint

�Li

nkvo

lum

esan

dco

sts

are

segm

ents

” w

ith v

aryi

ngflo

w

rate

s�

Cap

acity

str

ictly

enf

orce

d us

ing

“flo

w g

ates

”�

Sto

rage

str

ictly

enf

orce

d�

Sim

ulat

ion

ofqu

eues

affe

cts

�Li

nkvo

lum

esan

dco

sts

are

sepa

rabl

e an

d in

depe

nden

t�

Tim

e =

Link

Tra

vel T

ime

+ Ju

nctio

n D

elay

Sim

ulat

ion

ofqu

eues

affe

cts

prec

edin

g lin

k vo

lum

e, c

ost

�T

ime

= Li

nk T

rave

l Tim

e +

Junc

tion

Del

ay +

Que

ue T

ime

Com

paris

on w

ith M

icro

-Sim

ulat

ion

Mic

ro-S

imu

lati

on

�E

ach

vehi

cle

is s

imul

ated

in

divi

dual

ly�

Com

plex

flow

inte

ract

ions

like

i

di

Cu

be A

ven

ue

�V

ehic

les

can

be g

roup

ed in

to

hom

ogen

ous

pack

ets

�U

ses

aggr

egat

e sp

eed/

flow

l

tihi

wea

ving

and

mer

ging

�E

xplic

it re

pres

enta

tion

of fa

cilit

y la

ne g

eom

etry

�P

rodu

ces

3D a

nim

atio

ns o

f out

put

resu

lts�

Com

puta

tiona

llyin

tens

ive

rela

tions

hips

�R

un u

sing

una

ltere

d re

gion

al

mod

el n

etw

orks

�2D

map

s &

ani

mat

ions

pos

sibl

e in

C

ube

�M

uch

shor

ter

run

times

�C

ompu

tatio

nally

inte

nsiv

e�

Muc

hsh

orte

rru

ntim

es

A2-185

Rel

atio

nshi

p to

Oth

er C

ube

Fea

ture

s

�Ju

nctio

n m

odel

ing

�S

epar

ate

feat

ure;

it is

not

nec

essa

ry to

impl

emen

t bo

th�

How

ever

, bec

ause

Ave

nue

stric

tly e

nfor

ces

capa

city

co

nstr

aint

s it

may

impr

ove

som

e ju

nctio

n m

odel

s

�G

IS to

ols

/ Cub

e G

IS�

Allo

ws

you

to e

nsur

e th

at li

nk d

ista

nces

are

bas

ed

upon

act

ual f

eatu

re g

eom

etry

(in

stea

d of

arb

itrar

y st

raig

ht li

ne li

nks)

�T

his

will

pro

vide

mor

e ac

cura

te in

put d

ista

nce

valu

es

for

Ave

nue,

giv

ing

a be

tter

star

ting

poin

t for

sto

rage

es

timat

eses

timat

es�

The

refo

re, u

sing

a G

IS-e

nabl

ed n

etw

ork

is

reco

mm

ende

d

Scr

iptin

g D

ynam

ic T

raffi

c A

ssig

nmen

t W

ith C

ube

Ave

nue

Dyn

amic

Tra

ffic

Ass

ignm

ent w

ith C

ube

Ave

nue

46

A2-186

Dyn

amic

Ave

nue

Ass

ignm

ent M

odel

�C

ube

Ave

nue

Par

amet

ers

�S

peci

fic F

unct

ions

�LI

NK

RE

AD

Pha

se�

ILO

OP

Pha

se�

AD

JUS

T P

hase

�S

crip

ting

Tip

s

Cub

e A

venu

e P

aram

eter

s

�C

OM

BIN

E�

Com

bine

type

“EQ

UI”

isno

tva

lidfo

rA

venu

e.F

orm

ost

uses

ofA

VE

NU

E,“

AV

E”

isa

good

choi

ceof

com

bine

valu

e.

Meth

od

of

Sccessi

eA

era

ges

(MS

A)

Wit

hP

acket

Sp

litt

ing

(PS

)M

eth

od

of

Su

cc

es

siv

eA

vera

ges

(MS

A)

Wit

hP

acket

Sp

litt

ing

(PS

)

1)In

itial

izat

ion:

-Ite

ratio

nnu

mbe

r(n

=0

)-

Pac

ketV

olum

es(V

0)

=0

-Li

nkC

ost(

CO

ST

0)

for

free

-flo

wco

nditi

ons

2)U

pdat

eite

ratio

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Pac

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A2-196

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Dyn

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Ass

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FIL

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in th

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A2-197

Th

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ext

file

<!--

RUN="NETI.101585" PGM="AVENUE (v.10/18/2007 [4.2.0])"

TIME="Thu Oct 18 18:47:46 2007" NPKT=133997

PKTLNG=64 START=-0.500000 END=1.000000

NVOL=2 VPD=250.000000 TimeSliceEnd=-0.416667,-

0.333333,-0.250000,

-0.166667,-

0083333

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0.083333,0.000000,0.083333,0.166667,0.250000,0.333333,

0.416667,0.500000,0.583333,0.666667,0.750000,0.833333,

0.916667,1.000000 -->

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<n=430,a=-0.499593,d=-0.499529>

<n=447,a=-0.472814,d=-0.472814>

...

<n=475,a=-0.462416,d=-0.462416>

<n=464,a=-0.458362,d=-0.458362>

<n=476,a=-0.454521,d=-0.454521>

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<n=478,a=-0.448999,d=-0.448999>

<n=484,a=-0.435480,d=-0.435480>

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<n=17,a=-0.432114,d=*>

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<!--

RUN="NETI.101585" PGM="AVENUE (v.10/18/2007 [4.2.0])"

TIME="Thu Oct 18 18:47:46 2007" NPKT=133997

PKTLNG=64 START=-0.500000 END=1.000000

NVOL=2 VPD=250.000000 TimeSliceEnd=-0.416667,-

0.333333,-0.250000,

-0.166667,-

0083333

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0.916667,1.000000 -->

<p #=941,it=1>

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data

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<n=20,a=*,d=-0.499593>

<n=430,a=-0.499593,d=-0.499529>

<n=447,a=-0.472814,d=-0.472814>

...

<n=475,a=-0.462416,d=-0.462416>

<n=464,a=-0.458362,d=-0.458362>

<n=476,a=-0.454521,d=-0.454521>

<n=478

a=-0

448999

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data

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</p>

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<p>

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at l

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<n=484,a=-0.435480,d=-0.435480>

<n=486,a=-0.432114,d=-0.432114>

<n=17,a=-0.432114,d=*>

</r>

</p>

A2-198

Vo

lum

e s

tart

reco

rd

<!--

RUN="NETI.101585" PGM="AVENUE (v.10/18/2007 [4.2.0])"

TIME="Thu Oct 18 18:47:46 2007" NPKT=133997

PKTLNG=64 START=-0.500000 END=1.000000

NVOL=2 VPD=250.000000 TimeSliceEnd=-0.416667,-

0.333333,-0.250000,

-0.166667,-

0083333

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0083333

0166667

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gins

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data

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0.083333,0.000000,0.083333,0.166667,0.250000,0.333333,

0.416667,0.500000,0.583333,0.666667,0.750000,0.833333,

0.916667,1.000000 -->

<p #=941,it=1>

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...

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<n=464,a=-0.458362,d=-0.458362>

<n=476,a=-0.454521,d=-0.454521>

<n=478

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448999

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<n=484,a=-0.435480,d=-0.435480>

<n=486,a=-0.432114,d=-0.432114>

<n=17,a=-0.432114,d=*>

</r>

</p>

Vo

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reco

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<!--

RUN="NETI.101585" PGM="AVENUE (v.10/18/2007 [4.2.0])"

TIME="Thu Oct 18 18:47:46 2007" NPKT=133997

PKTLNG=64 START=-0.500000 END=1.000000

NVOL=2 VPD=250.000000 TimeSliceEnd=-0.416667,-

0.333333,-0.250000,

-0.166667,-

0083333

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0.916667,1.000000 -->

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num

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<n=447,a=-0.472814,d=-0.472814>

...

<n=475,a=-0.462416,d=-0.462416>

<n=464,a=-0.458362,d=-0.458362>

<n=476,a=-0.454521,d=-0.454521>

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sets

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re

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<n=484,a=-0.435480,d=-0.435480>

<n=486,a=-0.432114,d=-0.432114>

<n=17,a=-0.432114,d=*>

</r>

</p>

A2-199

Sta

rt r

ou

te r

eco

rd

<!--

RUN="NETI.101585" PGM="AVENUE (v.10/18/2007 [4.2.0])"

TIME="Thu Oct 18 18:47:46 2007" NPKT=133997

PKTLNG=64 START=-0.500000 END=1.000000

NVOL=2 VPD=250.000000 TimeSliceEnd=-0.416667,-

0.333333,-0.250000,

-0.166667,-

0083333

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0.916667,1.000000 -->

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<n=430,a=-0.499593,d=-0.499529>

<n=447,a=-0.472814,d=-0.472814>

...

<n=475,a=-0.462416,d=-0.462416>

<n=464,a=-0.458362,d=-0.458362>

<n=476,a=-0.454521,d=-0.454521>

<n=478

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ters

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<n=484,a=-0.435480,d=-0.435480>

<n=486,a=-0.432114,d=-0.432114>

<n=17,a=-0.432114,d=*>

</r>

</p>

No

de lis

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<!--

RUN="NETI.101585" PGM="AVENUE (v.10/18/2007 [4.2.0])"

TIME="Thu Oct 18 18:47:46 2007" NPKT=133997

PKTLNG=64 START=-0.500000 END=1.000000

NVOL=2 VPD=250.000000 TimeSliceEnd=-0.416667,-

0.333333,-0.250000,

-0.166667,-

0083333

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0166667

0250000

0333333

The

rou

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0.416667,0.500000,0.583333,0.666667,0.750000,0.833333,

0.916667,1.000000 -->

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of n

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...

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<n=476,a=-0.454521,d=-0.454521>

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war

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here

no

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vaila

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an

aste

risk,

'*',

is p

lace

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the

field

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<n=17,a=-0.432114,d=*>

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</p>

that

the

pack

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iled

tore

ach

byth

een

d of

the

mod

el p

erio

d.

A2-200

By

appl

ying

reco

rdpr

oces

sing

tech

niqu

esto

pack

etlo

gou

tput

data

you

can

Pro

cess

ing

the

Pac

ket L

og D

ata

By

appl

ying

reco

rdpr

oces

sing

tech

niqu

esto

pack

etlo

gou

tput

data

,you

can

impl

emen

t man

y ad

vanc

ed a

naly

ses

with

Ave

nue:

�B

uild

orig

in-d

estin

atio

n ta

ble

from

log

file

�S

elec

t nod

e/lin

k an

alys

is�

Sel

ect l

ink/

node

trip

tabl

e: b

uild

tabl

e of

trip

s us

ing

som

e no

de a

t som

e pa

rtic

ular

tim

e�

Che

ckw

heth

erpa

cket

sus

eda

part

icul

arlin

k/no

dean

dbu

ilda

link

tabl

efr

omth

elis

tofn

odes

Che

ckw

heth

erpa

cket

sus

eda

part

icul

arlin

k/no

dean

dbu

ilda

link

tabl

efr

omth

elis

tofn

odes

used

by

thes

e pa

cket

s (2

pas

ses

of th

e fil

e)

�E

xtra

ct a

vera

ge q

ueue

for

spec

ific

pack

ets

(dep

artu

re m

inus

arr

ival

)�

Tem

pora

l dis

aggr

egat

ion

(e.g

. bui

ld 1

5-m

inut

e m

atric

es fr

om p

eak

hour

si

mul

atio

n ou

tput

bas

ed u

pon

reco

rded

dep

artu

res)

�P

eak

s pre

adin

gp

g�

Bui

ld p

acke

t tab

le fr

om lo

g fil

e, fl

ag p

acke

ts th

at fa

iled

to a

rriv

e at

thei

r de

stin

atio

n�

Shi

ft pa

cket

s to

new

dep

artu

re ti

me

segm

ent b

ased

upo

n lo

gito

r ot

her

deci

sion

rul

e�

Re-

build

hou

rly tr

ip m

atrix

from

pac

ket t

able

�O

ther

app

licat

ions

: IT

S/V

MS

, par

king

, sub

-are

a ex

trac

tion,

ME

, etc

…

Tha

nkyo

u!

Tor

Vor

raa

–C

itila

bs, R

egio

nal D

irect

or

Tha

nkyo

u!

76

gA

lber

to B

rigno

ne –

Citi

labs

, Reg

iona

l Dire

ctor

A2-201

APPENDIX 3

STAGE 3 (GIS) TRAINING PROGRAM CONTENT

A3-1

A3-2

A3-3

A3-4

A3-5

A3-6