@article{ref1,
title="An optimal general type-2 fuzzy controller for urban traffic network",
journal="ISA transactions",
year="2016",
author="Khooban, Mohammad Hassan and Vafamand, Navid and Liaghat, Alireza and Dragicevic, Tomislav",
volume="66",
number="",
pages="335-343",
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.<br><br>Copyright © 2016 ISA. Published by Elsevier Ltd. All rights reserved.<p /> <p>Language: en</p>",
language="en",
issn="0019-0578",
doi="10.1016/j.isatra.2016.10.011",
url="http://dx.doi.org/10.1016/j.isatra.2016.10.011"
}