Traffic signal control of multi-forked road

Chengyou Cui, Mizuki Takamura, Heehyol Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The traffic jam has become more serious at the multi-forked road intersection, and the conventional pre-timed control is less efficiencies to the congestion problem. In this paper, the new traffic signal control system for multi-forked road is proposed. Firstly, the cellular automaton (CA) model is used to develop a traffic simulator for multi-forked road. Next, the stochastic model of traffic jam is built up. In addition, new traffic signal control algorithm is designed using the optimization technique, Genetic Algorithm (GA). Finally, the effectiveness of the proposed method is shown using the actual traffic data with traffic simulator.

Original languageEnglish
Title of host publicationProceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11
Pages503-506
Number of pages4
Publication statusPublished - 2011 Dec 1
Event16th International Symposium on Artificial Life and Robotics, AROB '11 - Beppu, Oita, Japan
Duration: 2011 Jan 272011 Jan 29

Publication series

NameProceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11

Conference

Conference16th International Symposium on Artificial Life and Robotics, AROB '11
CountryJapan
CityBeppu, Oita
Period11/1/2711/1/29

Keywords

  • Bayesian Network
  • Cellular automaton
  • Genetic algorithm
  • Multi-Forked
  • Traffic signal control
  • Urban micro traffic simulator

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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  • Cite this

    Cui, C., Takamura, M., & Lee, H. (2011). Traffic signal control of multi-forked road. In Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11 (pp. 503-506). (Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11).