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Distributed Traffic Signal Control Using PSO Based on Probability Model for Traffic Jam

  • Cheng-You Cui
  • Hee-Hyol Lee
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 193)

Abstract

In this article, a new traffic signal control method is proposed. The Bayesian Network (BN) model and the Cellular Automaton (CA) model are used to build up a probability model for traffic jam. And then using the Particle Swarm Optimization (PSO) based on the probability model, the optimal traffic signal can be obtained. Finally, the effectiveness of the proposed method is shown with a micro-traffic simulator.

Keywords

traffic jam bayesian network cellular automaton particle swarm optimization probabilistic distribution 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Graduate School of Information, Production and SystemsWaseda UniversityKitakyushuJapan

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