The network design problem: The traffic-responsive signal control scheme

This thesis concerns Bilevel Nonlinear Programming (BNP) and its application to the Network Design Problem (NDP): the Traffic-Responsive Signal Control (TRSC) scheme. The TRSC scheme considers the effect of signal controls on traffic flows in the standard traffic assignment problem through the integration of traffic control and traffic assignment submodels. Alternative problem formulations and available solution algorithms are briefly reviewed. Eight models based on two traffic signal timing policies, two different treatments of two-way stop intersections, and two different weights for turning movements are thus formulated. Among them four models are illustrated and compared. The iterative optimization and assignment (IOA) solution algorithm is suggested for solving a large-scale real network: the Chicago Area Transportation Study network. This real network contains 413 zones, 8408 nodes and 26719 links, of which a subregion consisting of 271 zones, 1059 nodes, and 2898 links is of primary interest. All the discussions are restricted to the subregion unless otherwise stated. The entire study area may be the largest network that has been tested for any type of the TRSC scheme until now.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Civil Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Chen, Huey-Kuo

Contributors dc:contributor

• Haber, Robert B.

• Engineering, Civil
• Transportation
• Urban and Regional Planning

Statement dc:rights

• Copyright 1989 Chen, Huey-Kuo

Language dc:language

eng

Identifier

AAI9010824
(UMI)AAI9010824

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/19615