Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/16880
Title: Adaptive traffic light control of multiple intersections in WSN-based ITS
Authors: Zhou, B
Cao, J 
Wu, H
Issue Date: 2011
Source: IEEE Vehicular Technology Conference, 2011, 5956434 How to cite?
Abstract: We investigate the problem of adaptive traffic light control of multiple intersections using real-time traffic data collected by a wireless sensor network (WSN). Previous studies mainly focused on optimizing the intervals of green lights in fixed sequences of traffic lights and ignored the traffic flow's characteristics and special traffic circumstances. In this paper, we propose an adaptive traffic light control scheme that adjusts the sequences of green lights in multiple intersections based on the real-time traffic data, including traffic volume, waiting time, number of stops, and vehicle density. Subsequently, the optimal green light length can be calculated from the local traffic data and traffic condition of neighbor intersections. Simulation results demonstrate that our scheme produces much higher throughput, lower average waiting time and fewer number of stops, compared with three control approaches: The optimal fixed-time control, an actuated control and an adaptive control.
Description: 2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring, Budapest, 15-18 May 2011
URI: http://hdl.handle.net/10397/16880
ISBN: 9781424483310
ISSN: 1550-2252
DOI: 10.1109/VETECS.2011.5956434
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