Adaptive traffic light control of multiple intersections in WSN-based ITS

Binbin Zhou, Jiannong Cao, Hejun Wu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

57 Citations (Scopus)

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.
Original languageEnglish
Title of host publication2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Proceedings
DOIs
Publication statusPublished - 29 Aug 2011
Event2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Budapest, Hungary
Duration: 15 May 201118 May 2011

Conference

Conference2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring
CountryHungary
CityBudapest
Period15/05/1118/05/11

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Applied Mathematics

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