quantitative analysis of pollutant emissions in the context of demand responsive transport
TRANSCRIPT
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Pollutant Emissions
and DRT Systems
Towards the Integration of a Spatial
Dimension in the Estimations
Julie Prud’homme, Didier Josselin, Jagannath [email protected]
UMR ESPACE – CNRS 6012 – University of Avignon
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Julie Prud’homme – GEOG-AN-MOD 2011 (Santander - SPAIN -- 21/06/2011)
Outline
1. Introduction
2. Simulation and results
3. Conclusions
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INTRODUCTION
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Julie Prud’homme – GEOG-AN-MOD 2011 (Santander - SPAIN -- 21/06/2011)
Cumul des
émissions
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Julie Prud’homme – GEOG-AN-MOD 2011 (Santander - SPAIN -- 21/06/2011) 5
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Julie Prud’homme – GEOG-AN-MOD 2011 (Santander - SPAIN -- 21/06/2011)
Emission Models
● MEET (Methodology of Emission Estimation
from Transports) set up at the conclusion of
an European collaboration [J.Hickman et al. (2003)]
● GREEN-DRT model (Geographical
Reasoning on Emission Estimation from
transports based on road Network shape)
adapted from MEET [J.Prud’homme (2011)]
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Julie Prud’homme – GEOG-AN-MOD 2011 (Santander - SPAIN -- 21/06/2011)
Calculation
of Start Emissions
15
MEET GREEN-DRT
Dependent on temperature and speed of traffic
A single cold startMany starting up
(cold and/or warm)
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Julie Prud’homme – GEOG-AN-MOD 2011 (Santander - SPAIN -- 21/06/2011)
Consideration of the Road Network in
the Calculation of Emissions in Traffic
MEET GREEN-DRT
Proportion of every type of road
(j) taken by a certain number of
vehicle (ni) of the same type (i)
Detail of every section (t) used
with the information about the
type of road (j) and sequencing of
these
Where
li : Distance averages travelled by the
vehicles of type (i)
pi,j : Proportion of the annual distance
crossed on roads of type (j) with vehicles
of type (I)
Where
DV,t,j : Distance travelled by the vehicle (V)
on sections (t) of type (j)
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Julie Prud’homme – GEOG-AN-MOD 2011 (Santander - SPAIN -- 21/06/2011)
EC1 = ES3 + ES4/2 + (ES1 + ES2 + ES6 )/2
• A fair repartition of emissions
18
EC2 = ES4/2 + ES5 + (ES1 + ES2 + ES6 )/2
Calculation of Unit Emissions
S1 S2 S3 S4 S5 S6 Sections of journey
Emissions in
service
Emissions
without client
Cumulative
emissions
Effective
emissions
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SIMULATIONS AND RESULTS
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Julie Prud’homme – GEOG-AN-MOD 2011 (Santander - SPAIN -- 21/06/2011)
Workflow of GREEN-DRT Model
20
1st stageSele
cti
on o
f th
e s
imula
tion
para
mete
rs
2nd stage 3rd stage 4th stage 5th stage
TasksCreation of
road network
and demand
Optimisation
of DRT
service
Routes
reconstruction
Calculation
of the
quantity of
emitted
pollutants
Cartography
and analysis of
emissions on
the network
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Julie Prud’homme – GEOG-AN-MOD 2011 (Santander - SPAIN -- 21/06/2011) 21
Simulations
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Julie Prud’homme – GEOG-AN-MOD 2011 (Santander - SPAIN -- 21/06/2011)
Simulations
• Simulation of a DRT in three different scales
(different density of stops)
22
Level 1 : Britany34 stops ; 0.0013 stop/km²
Scale = 1:7500000
Level 2 : Agglomeration of Rennes33 stops ; 0.054 stop/km²
Scale = 1:800000
Level 3 : City of Rennes 79 stops ; 1.58 stop/km²
Scale = 1:130000
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Julie Prud’homme – GEOG-AN-MOD 2011 (Santander - SPAIN -- 21/06/2011)
Simulations
• Scalability (number of client demands)
• Grouping rate (deviation time allowed)
• Unlimited number of vehicle in fleet
50% gasoline, 50% diesel
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Julie Prud’homme – GEOG-AN-MOD 2011 (Santander - SPAIN -- 21/06/2011)
y = 47,559x-1,411
R² = 0,7356
y = 29,47x-1,298
R² = 0,7953
Results
• Confirmation of a reduced vehicles
number and emissions with the increased
grouping rate
24
1,3 2 1,3 2
Grouping average in actual DRT services in Europe
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Julie Prud’homme – GEOG-AN-MOD 2011 (Santander - SPAIN -- 21/06/2011)
Results
25
25
30
35
1
2
5 10 15 20
Qu
anti
ty o
f p
ollu
tan
t e
mis
sio
ns
(kg)
Gro
up
ing
rate
Deviation time (mn)
Level 1
Grouping rate Pollutant emissions (kg)
0
10
20
30
0
1
2
3
4
5 10 15 20
Qu
anti
ty o
f p
ollu
tan
t e
mis
sio
ns
(kg)
Gro
up
ing
rate
Deviation time (mn)
Level 2
Grouping rate Pollutant emissions (kg)
0
5
10
15
0
1
2
3
4
5
5 10 15
Qu
anti
ty o
f p
ollu
tan
t e
mis
sio
ns
(kg)
Gro
up
ing
rate
Deviation time (mn)
Level 3
Grouping rate Pollutant emissions (kg)
• Increase of deviation time,
increase of grouping ,
decrease of emissions
(except for level 1)
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Julie Prud’homme – GEOG-AN-MOD 2011 (Santander - SPAIN -- 21/06/2011)
Results
26
25
30
35
1
2
5 10 15 20
Qu
anti
ty o
f p
ollu
tan
t e
mis
sio
ns
(kg)
Gro
up
ing
rate
Deviation time (mn)
Level 1
Grouping rate Pollutant emissions (kg)
0
10
20
30
0
1
2
3
4
5 10 15 20
Qu
anti
ty o
f p
ollu
tan
t e
mis
sio
ns
(kg)
Gro
up
ing
rate
Deviation time (mn)
Level 2
Grouping rate Pollutant emissions (kg)
0
5
10
15
0
1
2
3
4
5
5 10 15
Qu
anti
ty o
f p
ollu
tan
t e
mis
sio
ns
(kg)
Gro
up
ing
rate
Deviation time (mn)
Level 3
Grouping rate Pollutant emissions (kg)
• Increase of deviation
time, increase of grouping
, decrease of emissions
(except for level 1)
• Breaking point of efficiency
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Julie Prud’homme – GEOG-AN-MOD 2011 (Santander - SPAIN -- 21/06/2011)
Results
27
25
30
35
1
2
5 10 15 20
Qu
anti
ty o
f p
ollu
tan
t e
mis
sio
ns
(kg)
Gro
up
ing
rate
Deviation time (mn)
Level 1
Grouping rate Pollutant emissions (kg)
0
10
20
30
0
1
2
3
4
5 10 15 20
Qu
anti
ty o
f p
ollu
tan
t e
mis
sio
ns
(kg)
Gro
up
ing
rate
Deviation time (mn)
Level 2
Grouping rate Pollutant emissions (kg)
0
5
10
15
0
1
2
3
4
5
5 10 15
Qu
anti
ty o
f p
ollu
tan
t e
mis
sio
ns
(kg)
Gro
up
ing
rate
Deviation time (mn)
Level 3
Grouping rate Pollutant emissions (kg)
• More stop density increase, better is grouping
1,8
43
Low stop density
Medium stop density High stop density
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Julie Prud’homme – GEOG-AN-MOD 2011 (Santander - SPAIN -- 21/06/2011)
Conclusions
• DRT : a solution for an economy of
pollutants and vehicle in traffic
• Grouping
detours
increase of distance travelled by vehicles
dependent on characteristics of the road network
« environmental » threshold
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Pollutant Emissions
and DRT Systems
Towards the Integration of a Spatial
Dimension in the Estimations
Julie Prud’homme, Didier Josselin, Jagannath [email protected]
UMR ESPACE – CNRS 6012 – University of Avignon