Please use this identifier to cite or link to this item:
Title: Adaptive traffic light control in wireless sensor network-based intelligent transportation system
Authors: Zhou, B
Cao, J 
Zeng, X
Wu, H
Issue Date: 2010
Source: IEEE Vehicular Technology Conference, 2010, 5594435 How to cite?
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.
Description: 2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall, Ottawa, ON, 6-9 September 2010
ISBN: 9781424435746
ISSN: 1550-2252
DOI: 10.1109/VETECF.2010.5594435
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Aug 12, 2018

Page view(s)

Last Week
Last month
Citations as of Aug 13, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.