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Jul 2, 2019
An Intelligent Traffic Signal Control System Based on Fuzzy Theory
Authors: F. Clara Fang, Ph.D. [email protected], and Cao Van Pham, Ph.D. [email protected]Author Affiliations
Publication: CICTP 2019
Abstract
Probabilistic fuzzy logic control is developed for the signalized control of a diamond interchange, where the signal phasing and green time extension are decided in response to real-time traffic conditions, aimed at improving traffic flows on surface streets and highways. The probabilistic fuzzy logic for the diamond interchange (PFLDI) comprises two modules: probabilistic fuzzy phase timing (PFPT) that controls the green time extension process of the current running phase, and phase selection (PSL) which decides the next phase based on the pre-setup phase logic by the local transport authority. We used advanced interactive microscopic simulator for urban and non-urban network (AIMSUN) software for modeling various performances of the PFLDI algorithm. Simulation results show that the PFLDI surpasses the traffic actuated and conventional fuzzy models with lower system total travel time, average delay, and improvements in downstream average speed and downstream average delay.
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© 2019 American Society of Civil Engineers.
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Published online: Jul 2, 2019
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Professor, Dept. of Civil, Environmental, and Biomedical Engineering, College of Engineering, Technology, and Architecture, Univ. of Hartford, West Hartford, CT 06117. E-mail: [email protected]
Graduate, School of Engineering and Advanced Technology, Massey Univ., Palmerston North, New Zealand. E-mail: [email protected]
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