AUTOMATED TRAIN INFORMATION SYSTEM

Shane Ackerman, Alexander Drake, Athanasia Maimos, Jane Towery

Professor Wang

ISE 314x

December 5, 2016

AGENDA

Introduction &

Background

Objectives

Inputs

OutputsCode Analysis

Other Possible

Applications

Ideas for

Future Researc

h

INTRODUCTION & BACKGROUND

Many people use public

transportation every day

Timely departure

and arrival is a must

Updates concerning departure and arrival times are critical

OBJECTIVES

Goals:

Inform user of the train’s

departure and arrival

time.

Inform user about the

train’s distance to

the stations.

Inform user about any

delays.

INPUTS AND IMPORTS

Current time(z)

Current location

(x)

Desired location

(y)

User inputs: Train time

and location data matrix (A Bound)

Train time and location data matrix (B Bound)

System

Inputs: Import

pandas as pd

Import numpy as np

Imports:

ERROR CATCHING PSEUDOCODE

I N PUT S ERR O R BOU N D IN G

OUTPUTS

Station you are currently at ‘x’

Station you are traveling to ‘y’

The time in minutes past the hour ‘z’

Prints ‘A’ or ‘B’ bound schedule as needed

Instructs to take ‘A’ or ‘B’ bound train

OUTPUTS

Distance from train to station ‘x’

Time train arrives at station ‘x’ in minutes on the hour

Time train arrives at station ‘y’ in minutes on the hour

Time spent on train in minutes from ‘x’ to ‘y’

TUPLE TIME SERIES (DATA FRAME)

DECISION STRUCTURE PSEUDOCODE

IF (X == 0), ELIF (X < Y)

ELIF CONTINUED (X < Y)

ELSE (X > Y)

ELSE CONTINUED (X > Y)

SCENARIO A (X < Y)

• Inputs• x = 3• y = 5• z =

20

SCENARIO B (X > Y)

• Inputs• x = 6• y = 2• z =

40

OTHER POSSIBLE APPLICATIONS

Bus System Airplanes FerriesTours

(campuses, museums,

etc.)

Amusement parks

(ride lines, show times)

IDEAS FOR FUTURE RESEARCH