An optimal general type-2 fuzzy controller for Urban Traffic Network

Mohammad Hassan Khooban; Navid Vafamand; Alireza Liaghat; Tomislav Dragicevic

doi:10.1016/j.isatra.2016.10.011

An optimal general type-2 fuzzy controller for Urban Traffic Network

ISA Trans. 2017 Jan:66:335-343. doi: 10.1016/j.isatra.2016.10.011. Epub 2016 Nov 3.

Authors

Mohammad Hassan Khooban¹, Navid Vafamand², Alireza Liaghat², Tomislav Dragicevic³

Affiliations

¹ Department of Energy Technology, Aalborg University, Aalborg DK-9220, Denmark. Electronic address: mhkhoban@gmail.com.
² School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran.
³ Department of Energy Technology, Aalborg University, Aalborg DK-9220, Denmark.

PMID: 27816178
DOI: 10.1016/j.isatra.2016.10.011

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.

Keywords: Modified Backtracking Search Algorithm (MBSA); Optimal General Type-2 Fuzzy Controller (OGT2FC); Traffic Signal Control.