An optimal general type-2 fuzzy controller for Urban Traffic Network.
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.
Department of Energy Technology, Aalborg University, Aalborg DK-9220, Denmark. Electronic address: mhkhoban@gmail.com.
Mohammad Hassan
MH
Khooban
School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran.
Navid
N
Vafamand
School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran.
Alireza
A
Liaghat
Department of Energy Technology, Aalborg University, Aalborg DK-9220, Denmark.
Tomislav
T
Dragicevic
Modified Backtracking Search Algorithm (MBSA); Optimal General Type-2 Fuzzy Controller (OGT2FC); Traffic Signal Control