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Gujarat Technological University: M.E. Semester: III Civil (Transportation Engineering)

This document outlines the course content for a Mode Choice Modelling and Trip Assignment Techniques course. The course covers topics such as mode choice behavior and factors, discrete choice models, data collection methods, types of mode choice models including logit and probit models, estimation techniques, and concepts of activity-based analysis. It also covers transportation networks, trip matrices, route choice behavior, trip assignment methods including static and dynamic assignment, and applications of trip assignment. Practical sessions include data collection, model development and analysis, and developing computer programs for shortest path algorithms and trip assignment.

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137 views2 pages

Gujarat Technological University: M.E. Semester: III Civil (Transportation Engineering)

This document outlines the course content for a Mode Choice Modelling and Trip Assignment Techniques course. The course covers topics such as mode choice behavior and factors, discrete choice models, data collection methods, types of mode choice models including logit and probit models, estimation techniques, and concepts of activity-based analysis. It also covers transportation networks, trip matrices, route choice behavior, trip assignment methods including static and dynamic assignment, and applications of trip assignment. Practical sessions include data collection, model development and analysis, and developing computer programs for shortest path algorithms and trip assignment.

Uploaded by

kamal
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© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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GUJARAT TECHNOLOGICAL UNIVERSITY

M.E. Semester: III


Civil (Transportation Engineering)
Subject name: Mode Choice Modelling and Trip Assignment
Techniques(Major Elective - IV)

A. Mode Choice Modelling Techniques:

Sr.No Course content

1 Mode choice behaviour:


Factors, Discrete Choice Model, Choice Set, Choice Probability, Identification of
choices, Forecasting.

2 Methods of Data collection, preparation of format. RP and SP survey, analysis.

3 Binary, Logit Models, Generalised Extreme Value (GEV), NL, MNL, Probit, Mixed
Logit and other types of models. Interpretation of results.

4 Estimation:
Random Utility Theory, Probabilistic Choice Theory, Maximum Likely Hood,
Aggregate and Disaggregate Demand Models, Statistics of Model Estimate,
Methods of Estimate, Key Statistic test.

5 Concept of activity based analysis.

B. Trip Assignment Techniques:

Sr.No Course content

1 Transportation Network: Nodes, links, characteristics, Link cost functions; Junction


cost Functions, Shortest path algorithms.

2 Trip OD matrices, Route choice behaviour, Public transport trips and Private mode
trips.

3 Methods for Static and Dynamic assignment, mathematical approaches, Simulation


approach. Types of assignment procedure, Concepts of User equilibrium, System
optimum and Stochastic user equilibrium condition.

4 Applications of trip assignment, network design problem, signal optimization, area


traffic control, incident management, ITS applications.
Practical:
1. Preparation of format for RP and SP survey for small segment.
2. Data collection for RP and SP survey.
3. Analysis of collected data, preparation of mode choice model and its statistical check.
4. Problems based on different types of mode choice models.
5. Developing computer programme for shortest path algorithm.
6. Data collection for congested / problematic road network for trip assignment exercise.
7. Analysis of collected data for static and dynamic trip assignment. Develop computer
programme or use suitable software. Compare results with existing network conditions.

Reference Books:
1. J. Ortuzar and L. G. Willumsen, Modelling Transport, John Wiley & Sons, Chincester,
1994
2. Mosche Ben Akiva and Steven R Lerman, Discrete Choice Modeling-Theory and
Application to Travel Demand, M.I.T. Press Cambridge.
3. Kennech E.Train, Discrete Choice Method With Simulation.
4. Roy Thomas, Traffic Assignment Techniques, Avebury Technical, Aldershot, England.
5. Y. Sheffi, Urban Transportation Networks: Equilibrium Analysis with Mathematical
Programming Methods, Prentice Hall, Englewood Cliffs, New Jersey, USA.
6. Bell M. G. H. and Iida Y, Transportation Network Analysis,John Wiley and Sons Ltd.,
New York, USA.

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