Please use this identifier to cite or link to this item: https://doi.org/10.1109/CIVTS.2013.6612285
Title: Single intersection signal control based on Type-2 fuzzy logic
Authors: Bi, Y.
Srinivasan, D. 
Lu, X.
Sun, Z.
Keywords: genetic algorithm
single intersection
traffic signal control
Type-2 fuzzy logic
Issue Date: 2013
Source: Bi, Y.,Srinivasan, D.,Lu, X.,Sun, Z. (2013). Single intersection signal control based on Type-2 fuzzy logic. Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, CIVTS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 : 25-31. ScholarBank@NUS Repository. https://doi.org/10.1109/CIVTS.2013.6612285
Abstract: Single intersection is generally regarded as the elementary unit for solving traffic problem. A Type-2 fuzzy logic controller (T2FLC) for single intersection signal control is presented in this paper as Type-2 fuzzy logic can handle the imprecision, uncertainties and vagueness lying in the dynamic process more efficiently. Furthermore, the membership function parameters of Type-2 fuzzy logic controller are optimized by genetic algorithm (GA). Simulation experiments are designed to compare the queue length and vehicular average delay of Type-2 fuzzy control optimized by GA with general Type-2 fuzzy control, Type-1 fuzzy control and fixed-time control under various types of vehicle arrival rate. Experimental results indicate that our proposed control method can reduce the queue length and vehicular delay at the intersection effectively and thus demonstrates its superiority. © 2013 IEEE.
Source Title: Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, CIVTS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
URI: http://scholarbank.nus.edu.sg/handle/10635/84196
ISBN: 9781467359139
DOI: 10.1109/CIVTS.2013.6612285
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