2021 Faculty Courses School of Environment and Society Department of Civil and Environmental Engineering Graduate major in Civil Engineering
Transportation Network Analysis
- Academic unit or major
- Graduate major in Civil Engineering
- Instructor(s)
- Yasuo Asakura
- Class Format
- Lecture
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 3-4 Tue / 3-4 Fri
- Class
- -
- Course Code
- CVE.D402
- Number of credits
- 200
- Course offered
- 2021
- Offered quarter
- 3Q
- Syllabus updated
- Jul 10, 2025
- Language
- English
Syllabus
Course overview and goals
Based on the nonlinear optimization theories and algorithms, User Equilibrium (UE) in a transport network is formulated and solved. A variety of UE models are presented including deterministic UE with fixed demand, deterministic UE with variable demand and stochastic UE.
Through understanding the variety of UE model formulations and solution algorithms, this course aims to provide knowledge on how the UE models are applied to travel demand forecasting and transport network planning and management.
Course description and aims
By the end of the course, students will be able to:
1) understand the roles of transport network user equilibrium,
2) understand non-linear optimization theories and algorithms,
3) understand a variety of network UE models and algorithms,
4) understand how those models are applied to transport planning and management.
Keywords
transport network, user equilibrium, non-linear programming
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
The instructor will mainly give lectures and related exercises.
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | roles of transport network analysis | understand roles of transport network analysis |
| Class 2 | graph representation of transport network | understand graph representation |
| Class 3 | link cost function | understand link cost function |
| Class 4 | nonlinear optimization without constraints | understand nonlinear programming |
| Class 5 | nonlinear optimization with constraints | understand nonlinear programming |
| Class 6 | formulation of user equilibrium with fixed demand | formulating of user equilibrium with fixed demand |
| Class 7 | solution algorithm for nonlinear optimization | solving algorithm for nonlinear optimization |
| Class 8 | solution algorithm for user equilibrium with fixed demand | solution algorithm for user equilibrium with fixed demand |
| Class 9 | intermediate summary and exercise | exercises for fundamental methodologies |
| Class 10 | formulation of user equilibrium with variable demand | formulating user equilibrium with variable demand |
| Class 11 | solution for user equilibrium with variable demand | solving user equilibrium with variable demand |
| Class 12 | formulation of stochastic user equilibrium | formulating stochastic user equilibrium |
| Class 13 | solution for stochastic user equilibrium | solving stochastic user equilibrium |
| Class 14 | application to travel demand forecasting | application to travel demand forecasting |
Study advice (preparation and review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
Sheffi, Y. (1985) Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Methods, Prentice Hall.
Reference books, course materials, etc.
none
Evaluation methods and criteria
exercise and report (40%), exams(60%)
Related courses
- CVE.D301 ： Traffic and Transportation Systems
Prerequisites
none
Contact information (e-mail and phone) Notice : Please replace from ”[at]” to ”@”(half-width character).
asakura[at]plan.cv.titech.ac.jp
Office hours
appointment by e-mail is necessary