Adaptive traffic light control in wireless sensor network-based intelligent transportation system

Binbin Zhou, Jiannong Cao, Xiaoqin Zeng, Hejun Wu

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

117 Citations (Scopus)

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.
Original languageEnglish
Title of host publication2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall - Proceedings
DOIs
Publication statusPublished - 1 Dec 2010
Event2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall - Ottawa, ON, Canada
Duration: 6 Sep 20109 Sep 2010

Conference

Conference2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall
Country/TerritoryCanada
CityOttawa, ON
Period6/09/109/09/10

ASJC Scopus subject areas

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

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