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2018　Transportation Network Analysis

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Academic unit or major
Graduate major in Civil Engineering
Instructor(s)
Asakura Yasuo 
Class Format
Lecture     
Media-enhanced courses
Day/Period(Room No.)
Tue3-4(M321)  Fri3-4(M321)  
Group
-
Course number
CVE.D402
Credits
2
Academic year
2018
Offered quarter
3Q
Syllabus updated
2018/4/9
Lecture notes updated
-
Language used
English
Access Index

Course description and aims

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.

Student learning outcomes

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 that will be developed

✔ 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/Required learning

  Course schedule Required learning
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
Class 15 application to transport management application to transport management

Textbook(s)

Sheffi, Y. (1985) Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Methods, Prentice Hall.

Reference books, course materials, etc.

none

Assessment criteria and methods

exercise and report (40%), exams(60%)

Related courses

  • CVE.D301 ： Traffic and Transportation Systems

Prerequisites (i.e., required knowledge, skills, courses, etc.)

none

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