2022 Faculty Courses School of Environment and Society Undergraduate major in Civil and Environmental Engineering
Traffic and Transportation Systems
- Academic unit or major
- Undergraduate major in Civil and Environmental Engineering
- Instructor(s)
- Toru Seo
- Class Format
- Lecture (Face-to-face)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 5-6 Tue (M113) / 5-6 Fri (M113)
- Class
- -
- Course Code
- CVE.D301
- Number of credits
- 200
- Course offered
- 2022
- Offered quarter
- 1Q
- Syllabus updated
- Jul 10, 2025
- Language
- Japanese
Syllabus
Course overview and goals
This course focuses on traffic and transport systems, and covers the fundamental theories and analytical models on travel behaviour, transport network equilibrium and traffic flows. This course explains how these theories are applied to describe traffic and transport through exercise and reports
The mathematical approach is essential for systems analysis in traffic and transport engineering, and applicable to transport planning and management. This course facilitates students' comprehensive ability to find useful solutions for actual traffic and transport problems.
Course description and aims
When students complete this course, they will be able to:
1) understand the systems approach for traffic and transport problems,
2) understand fundamental mathematical methods in traffic engineering and transport planning,
3) obtain creative ability through practical application examples.
Keywords
systems analysis, travel behaviour, transport network, traffic flow, travel demand, transport planning, traffic and transport management
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
While teaching theoretical foundations of traffic engineering, small quiz will also be conducted. Further, the final exam will also be carried out.
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | planning and management for traffic and transport problems | understand transport problems and transport planning |
| Class 2 | transport systems analysis | understand transport systems analysis |
| Class 3 | travel data collection | understand travel data collection methods |
| Class 4 | derivation of travel behaviour model | derive travel behaviour model |
| Class 5 | calibration of behaviour model | understand calibration method of behaviour model |
| Class 6 | exercise and report | exercise and report for transport system analysis and behaviour model |
| Class 7 | formulation of network equilibrium | formulate network equilibrium |
| Class 8 | algorithm for network equilibrium | understand algorithm for network equilibrium |
| Class 9 | characteristics of traffic flow | understand characteristics of traffic flow |
| Class 10 | theories and analytical methods of traffic flow | understand traffic flow models |
| Class 11 | exercise and report | exercise and report on network equilibrium and traffic flow |
| Class 12 | transport systems management | understand transport systems management methods |
| Class 13 | intelligent transport systems | understand current intelligent transport systems |
| Class 14 | design for traffic space | understand design methods for traffic space |
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)
none required
Reference books, course materials, etc.
referred during the class
Evaluation methods and criteria
Course scores are based on exams (80%) and exercise problems (20%).
Related courses
- CVE.D201 ： Fudamentals of Infrastructure Planning
- CVE.D230 ： Urban and Transportation Planning Project
Prerequisites
No prerequisites.
Contact information (e-mail and phone) Notice : Please replace from ”[at]” to ”@”(half-width character).
seo.t.aa[at]m.titech.ac.jp
Office hours
contact by e-mail in advance to schedule appointment