2021 Traffic and Transportation Systems

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Academic unit or major
Undergraduate major in Civil and Environmental Engineering
Instructor(s)
Asakura Yasuo 
Course component(s)
Lecture    (ZOOM)
Day/Period(Room No.)
Tue5-6(H113)  Fri5-6(W242)  
Group
-
Course number
CVE.D301
Credits
2
Academic year
2021
Offered quarter
1Q
Syllabus updated
2021/4/8
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

1) the course is mainly organized by lectures, and exercise will be held at the end of the topics.
2) handouts are provided via OCWi and should be studied before the class.
3) attendants are taken.

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
handouts are found on OCWi.

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).

asakura[at]plan.cv.titech.ac.jp

Office hours

contact by e-mail in advance to schedule appointment

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