Simulation Evaluation for Traffic Signal Control Based on Expected Traffic Congestion by AVENUE

  • Naoto Mukai
  • Hiroyasu Ezawa
Part of the Studies in Computational Intelligence book series (SCI, volume 376)


In these years, the traffic jam becomes a serious problem according to the increasing of vehicle holders in Japan. One of the key issues to ease the traffic jam is a traffic signal control, i.e., optimization of traffic signal parameters (cycle, split, and offset). The information technologies such as probe car and road-to-vehicle communication enable to progress to the next stage for the traffic signal control. In this paper, we focus on “expected traffic congestion (ETC)” which is a simple indicator for traffic jam. The value of ETC is based on the shared probe data (i.e., path information) among vehicles by road-to-vehicle communication. We apply the ETC to the optimization of traffic signal parameters. Moreover, in order to evaluate the effectiveness of the optimization, we introduce “AVENUE” which is a popular traffic stream simulator. We developed an outer module to calculate the ETC and update the traffic signal parameters for AVENUE. The experimental results using the outer module and AVENUE indicate that our traffic signal control can reduce the traveling time of vehicles.


Signal Control Probe Data Intelligent Transportation System Current Cycle Simulation Evaluation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Naoto Mukai
    • 1
  • Hiroyasu Ezawa
    • 2
  1. 1.Dept. of Culture-Information Studies, School of Culture-Information StudiesSugiyama Jogakuen UniversityNaogyaJapan
  2. 2.Dept. of Electrical Engineering, Graduate School of EngineeringTokyo University of ScienceChiyoda-kuJapan

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