Traffic equilibrium problem: Incorporating traffic restraint and random perception

Zhong Zhou; Anthony Chen

Traffic equilibrium problem: Incorporating traffic restraint and random perception

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

Traffic assignment is an essential and fundamental step in the transportation planning and management process. It predicts the vehicular flows on the transportation network by assigning travel demands given in terms of an origin-destination trip table to routes in a network according to some behavioral route choice rules. In this paper, we enhance the realism of the traffic assignment procedure by incorporating traffic restraint and random perception. Specifically, various traffic flow restrictions and traffic control policies are explicitly modeled as side constraints, and a C-logit model is adopted to account for traveler's perception error in the traffic assignment procedure. Models and algorithm for the C-logit stochastic user equilibrium problem with side constraints are presented. The validity and some properties of the models and algorithm are demonstrated with a simple network.

Original language	English
Title of host publication	Transportation and the Economy - Proceedings of the 10th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2005
Pages	43-52
Number of pages	10
Publication status	Published - 1 Dec 2005
Externally published	Yes
Event	10th International Conference of Hong Kong Society for Transportation Studies: Transportation and the Economy, HKSTS 2005 - Kowloon, Hong Kong Duration: 10 Dec 2005 → 10 Dec 2005

Conference

Conference	10th International Conference of Hong Kong Society for Transportation Studies: Transportation and the Economy, HKSTS 2005
Country	Hong Kong
City	Kowloon
Period	10/12/05 → 10/12/05

Keywords

C-logit
Side constraints
Stochastic user equilibrium
Traffic assignment

ASJC Scopus subject areas

Automotive Engineering
Civil and Structural Engineering
Mechanical Engineering
Safety, Risk, Reliability and Quality

Cite this

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title = "Traffic equilibrium problem: Incorporating traffic restraint and random perception",

abstract = "Traffic assignment is an essential and fundamental step in the transportation planning and management process. It predicts the vehicular flows on the transportation network by assigning travel demands given in terms of an origin-destination trip table to routes in a network according to some behavioral route choice rules. In this paper, we enhance the realism of the traffic assignment procedure by incorporating traffic restraint and random perception. Specifically, various traffic flow restrictions and traffic control policies are explicitly modeled as side constraints, and a C-logit model is adopted to account for traveler's perception error in the traffic assignment procedure. Models and algorithm for the C-logit stochastic user equilibrium problem with side constraints are presented. The validity and some properties of the models and algorithm are demonstrated with a simple network.",

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Zhou, Z & Chen, A 2005, Traffic equilibrium problem: Incorporating traffic restraint and random perception. in Transportation and the Economy - Proceedings of the 10th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2005. pp. 43-52, 10th International Conference of Hong Kong Society for Transportation Studies: Transportation and the Economy, HKSTS 2005, Kowloon, Hong Kong, 10/12/05.

Traffic equilibrium problem: Incorporating traffic restraint and random perception. / Zhou, Zhong; Chen, Anthony.

Transportation and the Economy - Proceedings of the 10th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2005. 2005. p. 43-52.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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Traffic equilibrium problem: Incorporating traffic restraint and random perception

Abstract

Conference

Keywords

ASJC Scopus subject areas

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Cite this