An Intelligent Traffic Signal Control System Based on Fuzzy Theory-Reference-Cited by-同舟云学术

An Intelligent Traffic Signal Control System Based on Fuzzy Theory

Published:2019-07-02 Issue: Volume: Page:
ISSN:
Container-title:CICTP 2019
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Author:

Clara Fang F.¹²,Pham Cao Van¹²

Affiliation:

1. Professor, Dept. of Civil, Environmental, and Biomedical Engineering, College of Engineering, Technology, and Architecture, Univ. of Hartford, West Hartford, CT 06117.

2. Graduate, School of Engineering and Advanced Technology, Massey Univ., Palmerston North, New Zealand.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784482292.261

Reference11 articles.

1. Simulation of random fuzzy variables: an empirical approach to statistical/probabilistic studies with fuzzy experimental data;Colubi A.;IEEE Transaction Fuzzy System,2003

2. Development of an optimization methodology for adaptive traffic signal control at diamond interchanges;Fang F. C.;Journal of Transportation Engineering, American Society of Civil Engineers (ASCE),2006

3. Capability-Enhanced Microscopic Simulation with Real-time Traffic Signal Control;Fang F. C.;IEEE Transactions on Intelligent Transportation Systems,2008

4. Neural fuzzy system approaches for robotic gait synthesis;Juang J. G.;IEEE Transportation System, Man. And Cybernetics,2000

5. Stochastic Traffic Signal Timing Optimization;Kamarajugadda A.;Research Report, UVACTS-15-0-44, Centre for Transport Studies, University of Virginia, Virginia,2003

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