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

被引：52
|
作者：
Khooban, Mohammad Hassan [1 ]
Vafamand, Navid [2 ]
Liaghat, Alireza [2 ]
Dragicevic, Tomislav [1 ]
机构：
[1] Aalborg Univ, Dept Energy Technol, DK-9220 Aalborg, Denmark
[2] Shiraz Univ, Sch Elect & Comp Engn, Shiraz, Iran
来源：
ISA TRANSACTIONS | 2017年 / 66卷
关键词：
Traffic Signal Control; Optimal General Type-2 Fuzzy Controller (OGT2FC); Modified Backtracking Search Algorithm (MBSA); REDUCTION; SETS;
D O I：
10.1016/j.isatra.2016.10.011
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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. (C) 2016 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：335 / 343
页数：9
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