DocumentCode :
2463763
Title :
Adaptive Traffic Light Control in Wireless Sensor Network-Based Intelligent Transportation System
Author :
Zhou, Binbin ; Cao, Jiannong ; Zeng, Xiaoqin ; Wu, Hejun
Author_Institution :
Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong, China
fYear :
2010
fDate :
6-9 Sept. 2010
Firstpage :
1
Lastpage :
5
Abstract :
We investigate the problem of adaptive traffic light control using real-time traffic information collected by a wireless sensor network (WSN). Existing studies mainly focused on determining the green light length in a fixed sequence of traffic lights. In this paper, we propose an adaptive traffic light control algorithm that adjusts both the sequence and length of traffic lights in accordance with the real time traffic detected. Our algorithm considers a number of traffic factors such as traffic volume, waiting time, vehicle density, etc., to determine green light sequence and the optimal green light length. Simulation results demonstrate that our algorithm produces much higher throughput and lower vehicle´s average waiting time, compared with a fixed-time control algorithm and an actuated control algorithm. We also implement proposed algorithm on our transportation testbed, iSensNet, and the result shows that our algorithm is effective and practical.
Keywords :
adaptive control; automated highways; control engineering computing; road traffic; traffic engineering computing; wireless sensor networks; actuated control algorithm; adaptive traffic light control; fixed-time control algorithm; iSensNet; real-time traffic information; wireless sensor network-based intelligent transportation system; Accidents; Adaptation model; Equations; Green products; Mathematical model; Throughput; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference Fall (VTC 2010-Fall), 2010 IEEE 72nd
Conference_Location :
Ottawa, ON
ISSN :
1090-3038
Print_ISBN :
978-1-4244-3573-9
Electronic_ISBN :
1090-3038
Type :
conf
DOI :
10.1109/VETECF.2010.5594435
Filename :
5594435
Link To Document :
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