CEE 679: Advanced Transportation Demand and Supply Modeling

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CEE 679 - Advanced Transportation Demand and Supply Modeling

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Timetable Information

Catalog Description
679 Special Topics in Transportation and City Planning. I or II; 3cr. Given on demand. P:Cons inst.

Course Prerequisite(s)

CEE 571
See catalog description above.

Prerequisite knowledge and/or skills

Understanding of basic transportation planning process and modeling.
Understanding of basic ITS concepts.

Textbook(s) and/or other required material

Sheffi Y. 1985. Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Methods. Prentice-Hall, Englewood Cliffs, NJ.
Ran B. and Boyce D.E. 1994. Dynamic Urban Transportation Network Models -- Theory and Implications for Intelligent Vehicle-Highway Systems. No.417 Lecture Notes in Economics and Mathematical Systems, Springer-Verlag, Heidelberg.
Ran B. and Boyce D.E. 1996. Modeling Dynamic Transportation Network -- An Intelligent Transportation System Oriented Approach. Springer-Verlag, Heidelberg.

Course objectives

This course will develop students' knowledge of and ability to analyze dynamic traffic flow forecasting and management in an urban transportation network.

Topics covered

This course will address and answer the questions how traffic flow pattern in a urban transportation network can be determined in a long time horizon and how traffic flow could be forecasted and managed in a short time horizon. The static analysis is aimed to provide traffic predictions for long term planning purposes and the dynamic analysis is used to generate short term predictions and optimization strategies for advanced traffic management and information systems.
Class/laboratory schedule

Lecture - two 75 minute periods

Contribution of course to meeting the professional component
This course contributes primarily to the students' knowledge of engineering topics, and does provide design experience.
The following statement indicates which of the following considerations are included in this course: economic, environmental, ethical, political, societal, health and safety, manufacturability, sustainability.

The dynamic network traffic flow analysis is closely related with economic and societal considerations.

Relationship of course to undergraduate degree program objectives and outcomes
This course primarily serves students in the department. The information below describes how the course contributes to the undergraduate program objectives.

Provide a comprehensive education in the fundamentals of urban transportation network modeling.
Provide experiences to develop professionalism in advanced transportation demand and supply analysis.

Assessment of student progress toward course objectives

Midterm exam
Final exam
Homeworks

Person(s) who prepared this description

Bin Ran
Catalog Description: 679 Special Topics in Transportation and City Planning. I or II; 3cr. Given on demand. P:Cons inst.
Course Prerequisite(s)

CEE 571
See catalog description above.
Prerequisite knowledge and/or skills

Understanding of basic transportation planning process and modeling.
Understanding of basic ITS concepts.
Textbook(s) and/or other required material

Sheffi Y. 1985. Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Methods. Prentice-Hall, Englewood Cliffs, NJ.
Ran B. and Boyce D.E. 1994. Dynamic Urban Transportation Network Models -- Theory and Implications for Intelligent Vehicle-Highway Systems. No.417 Lecture Notes in Economics and Mathematical Systems, Springer-Verlag, Heidelberg.
Ran B. and Boyce D.E. 1996. Modeling Dynamic Transportation Network -- An Intelligent Transportation System Oriented Approach. Springer-Verlag, Heidelberg.
Course objectives

This course will develop students' knowledge of and ability to analyze dynamic traffic flow forecasting and management in an urban transportation network.
Topics covered: This course will address and answer the questions how traffic flow pattern in a urban transportation network can be determined in a long time horizon and how traffic flow could be forecasted and managed in a short time horizon. The static analysis is aimed to provide traffic predictions for long term planning purposes and the dynamic analysis is used to generate short term predictions and optimization strategies for advanced traffic management and information systems.
Class/laboratory schedule

Lecture - two 75 minute periods
Contribution of course to meeting the professional component: This course contributes primarily to the students' knowledge of engineering topics, and does provide design experience.
The following statement indicates which of the following considerations are included in this course: economic, environmental, ethical, political, societal, health and safety, manufacturability, sustainability.
: The dynamic network traffic flow analysis is closely related with economic and societal considerations.
Relationship of course to undergraduate degree program objectives and outcomes: This course primarily serves students in the department. The information below describes how the course contributes to the undergraduate program objectives.
Provide a comprehensive education in the fundamentals of urban transportation network modeling. Provide experiences to develop professionalism in advanced transportation demand and supply analysis.
Assessment of student progress toward course objectives

Midterm exam
Final exam
Homeworks
Person(s) who prepared this description

Bin Ran

Copyright 2007 The Board of Regents of the University of Wisconsin System
Date last modified: 02-Aug-2007
Content by: cee@engr.wisc.edu
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