NDLI: Adaptive Traffic Light Control in Wireless Sensor Network-Based Intelligent Transportation System

Content Provider	IEEE Xplore Digital Library
Author	Binbin Zhou Jiannong Cao Xiaoqin Zeng Hejun Wu
Copyright Year	2010
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.
Starting Page	1
Ending Page	5
File Size	343163
Page Count	5
File Format	PDF
ISBN	9781424435739
ISSN	10903038
DOI	10.1109/VETECF.2010.5594435
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-06
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Green products Mathematical model Equations Throughput Adaptation model Accidents
Content Type	Text
Resource Type	Article

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