Transportation network modeling & analysis

Summary

This course introduces the classics and new advances in transportation network modeling and optimization. The course cover key concepts, behavioral principles, model formulations and solution approached used in traffic assignment and travel demand management.

Content

Keywords

vehicle routing, traffic equilibrium, network design, optimization

Learning Prerequisites

Required courses

MATH265 Introduction to optimization and operation research, CIVIL355 Introduction to transportation system

Recommended courses

CIVIL 349 Traffic Engineering, CIVIL-226 Introduction to machine learning for engineers

Important concepts to start the course

programming in python, constrained optimization

Learning Outcomes

By the end of the course, the student must be able to:

• Explain key concepts and properties of traffic networks and equilibria.
• Solve classic traffic assignment models.
• Develop network models to analyze novel transportation problems.

Transversal skills

• Demonstrate the capacity for critical thinking
• Plan and carry out activities in a way which makes optimal use of available time and other resources.
• Make an oral presentation.
• Write a scientific or technical report.

Teaching methods

Lectures with assisted exercises ; regular checkout and feedback on project.

Expected student activities

Attend lectures ; complete assignment ; attend exam ; participate in project.

Assessment methods

Assignment (20%):

- one assigment before mid-term

Mid-term exam (30%):

- during the course and open-book
Project (50%):

- individual or groups of two

- final presentation (20%)

- final report (30%)

Supervision

Resources

Virtual desktop infrastructure (VDI)

No

Bibliography

Equilibrium analysis with mathematical programming methods/Sheffi ; Transportation network analysis /Boyles and Lownes.

Moodle Link

• https://go.epfl.ch/CIVIL-477