DocumentCode :
2381071
Title :
A novel fuzzy model for the traffic signal control of modern roundabouts
Author :
Gong, Yue-Jiao ; Zhang, Jun ; Liu, Ou ; Yi Li
Author_Institution :
Dept. of C.S., Sun Yat-sen Univ., Guangzhou, China
fYear :
2011
fDate :
9-12 Oct. 2011
Firstpage :
1777
Lastpage :
1782
Abstract :
Traffic signal control is a challenging task for traffic systems. As fuzzy logic is proved to be well suited to control some complex systems with uncertainties and human perception, it has been widely used to control the traffic signal in recent years. This paper proposes a novel fuzzy logic controller for signalizing modern roundabouts. Different from existing fuzzy traffic-signal controllers, the proposed controller consists of two fuzzy layers each of which has its own duty. According to the current traffic condition, one layer of the controller controls the phase sequence while the other layer determines the signal timing. By the cooperation of the two layers, the proposed controller is capable of immediately responding to the current traffic condition so as to reduce the vehicle delay or the queue length of waiting vehicles, as well as smoothing the traffic flows in order to reduce the risk of traffic jams. Simulation results prove the effectiveness of the proposed controller, for it can improve the traffic efficiency of the roundabout when compared with several existing controllers.
Keywords :
fuzzy control; road traffic control; uncertain systems; fuzzy layers; fuzzy logic controller; fuzzy model; fuzzy traffic-signal controllers; modern roundabouts; phase sequence; signal timing; traffic efficiency improvement; traffic jams; traffic systems; vehicle delay reduction; waiting vehicle queue length; Computational modeling; Delay; Educational institutions; Fuzzy logic; Simulation; Vehicles; fuzzy logic; roundabout; traffic signal control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
Conference_Location :
Anchorage, AK
ISSN :
1062-922X
Print_ISBN :
978-1-4577-0652-3
Type :
conf
DOI :
10.1109/ICSMC.2011.6083929
Filename :
6083929
Link To Document :
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