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School of Engineering
- Undergraduate major in Mechanical Engineering
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- Common courses
- School of Materials and Chemical Technology
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- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
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School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Undergraduate major in Civil and Environmental Engineering
- Instructor(s)
- Seo Toru
- Class Format
- Lecture (Face-to-face)
- Media-enhanced courses
- Day/Period(Room No.)
- Tue5-6(M113) Fri5-6(M113)
- Group
- -
- Course number
- CVE.D301
- Credits
- 2
- Academic year
- 2022
- Offered quarter
- 1Q
- Syllabus updated
- 2022/3/18
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
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.
Student learning outcomes
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 that will be developed
| ✔ 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/Required learning
| Course schedule | Required learning | |
|---|---|---|
| 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 |
Out-of-Class Study Time (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
Assessment criteria and methods
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 (i.e., required knowledge, skills, courses, etc.)
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
