Citation

Khooban MH, Vafamand N, Liaghat A, Dragicevic T. ISA Trans. 2016; 66: 335-343.

Affiliation

Department of Energy Technology, Aalborg University, Aalborg DK-9220, Denmark.

Copyright

(Copyright © 2016, Instrument Society of America, Publisher Elsevier Publishing)

DOI

10.1016/j.isatra.2016.10.011

PMID

27816178

Abstract

Urban traffic network model is illustrated by state-charts and object-diagram. However, they have limitations to show the behavioral perspective of the Traffic Information flow. Consequently, a state space model is used to calculate the half-value waiting time of vehicles. In this study, a combination of the general type-2 fuzzy logic sets and the Modified Backtracking Search Algorithm (MBSA) techniques are used in order to control the traffic signal scheduling and phase succession so as to guarantee a smooth flow of traffic with the least wait times and average queue length. The parameters of input and output membership functions are optimized simultaneously by the novel heuristic algorithm MBSA. A comparison is made between the achieved results with those of optimal and conventional type-1 fuzzy logic controllers.

Copyright © 2016 ISA. Published by Elsevier Ltd. All rights reserved.

Language: en