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
Module 1 : Basics of traffic network and equilibrium analysis
- Traffic network and vehicle routing
- Optimization over networks
Module 2 : Static traffic assignment and extensions
- Static traffic assignment
- Stochastic traffic assignment
Module 3 : Traffic demand management
- Incentive design
- Network design
Module 4 : New advances in traffic network modeling
- Shared mobility
- Autonomous vehicles
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
| Office hours | Yes |
| Assistants | Yes |
| Forum | Yes |
Resources
Virtual desktop infrastructure (VDI)
No
Bibliography
Equilibrium analysis with mathematical programming methods/Sheffi ; Transportation network analysis /Boyles and Lownes.
Moodle Link
In the programs
- Semester: Spring
- Exam form: During the semester (summer session)
- Subject examined: Transportation network modeling & analysis
- Courses: 2 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Spring
- Exam form: During the semester (summer session)
- Subject examined: Transportation network modeling & analysis
- Courses: 2 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Spring
- Exam form: During the semester (summer session)
- Subject examined: Transportation network modeling & analysis
- Courses: 2 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Type: optional