Title

Fuzzy control model optimization for behavior-consistent traffic routing under information provision

Document Type

Article

Publication Date

3-2008

Publication Title

IEEE Transactions on Intelligent Transportation Systems

Volume

9

Issue

1

Abstract

This paper presents an H-infinity filtering approach to optimize a fuzzy control model used to determine behavior-consistent (BC) information-based control strategies to improve the performance of congested dynamic traffic networks. By adjusting the associated membership function parameters to better respond to nonlinearities and modeling errors, the approach is able to enhance the computational performance of the fuzzy control model. Computational efficiency is an important aspect in this problem context, because the information strategies are required in subreal time to be real-time deployable. Experiments are performed to evaluate the effectiveness of the approach. The results indicate that the optimized fuzzy control model contributes in determining the BC information-based control strategies in significantly less computational time than when the default controller is used. Hence, the proposed H-infinity approach contributes to the development of an efficient and robust information-based control approach.

Keywords

Fuzzy control; Fuzzy systems; H [infinity symbol] control; H-infinity filter; Information-based control; Real-time control; Traffic engineering; Traffic flow; Traffic patterns

Disciplines

Civil and Environmental Engineering | Transportation

Language

English

Permissions

Use Find in Your Library, contact the author, or use interlibrary loan to garner a copy of the article. Publisher copyright policy allows author to archive post-print (author’s final manuscript). When post-print is available or publisher policy changes, the article will be deposited

Identifier

DOI: http://dx.doi.org/10.1109/TITS.2007.911355

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