DocumentCode :
570236
Title :
Type-2 fuzzy multiagent traffic signal control
Author :
Sabetghadam, B. ; Shabaninia, F. ; Vaziri, M. ; Vadhava, S.
fYear :
2012
fDate :
8-10 Aug. 2012
Firstpage :
509
Lastpage :
512
Abstract :
This paper proposes a controller design for urban traffic networks. The growing demand for faster transportation has led to heavy congestion in road traffic networks, necessitating the need for traffic-responsive intelligent signal control systems. The developed signal control system based on uncertain information of the environment must be capable of determining the green time that minimizes the overall delay. The proposed traffic controller is based on distributed multi-agent approach which is very efficient considering the uncertainties and parameter variations. The effectiveness of the proposed control method is verified by comparing the obtained result with that of a fixed time controller.
Keywords :
control system synthesis; delays; fuzzy control; fuzzy reasoning; fuzzy set theory; intelligent control; multi-agent systems; road traffic control; uncertain systems; controller design; distributed multiagent approach; overall delay minimization; parameter variations; road traffic networks; traffic congestion; traffic-responsive intelligent signal control systems; type-2 fuzzy inference engine; type-2 fuzzy multiagent traffic signal control system; uncertainties variations; urban traffic networks; Computer architecture; Control systems; Educational institutions; Fuzzy logic; Roads; Uncertainty; Vehicles; fuzzy model; multi-agent system; traffic network; type-2 fuzzy logic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Reuse and Integration (IRI), 2012 IEEE 13th International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4673-2282-9
Electronic_ISBN :
978-1-4673-2283-6
Type :
conf
DOI :
10.1109/IRI.2012.6303051
Filename :
6303051
Link To Document :
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