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  • 标题:Optimization of the Design of Pre-Signal System Using Improved Cellular Automaton
  • 本地全文:下载
  • 作者:Yan Li ; Ke Li ; Siran Tao
  • 期刊名称:Computational Intelligence and Neuroscience
  • 印刷版ISSN:1687-5265
  • 电子版ISSN:1687-5273
  • 出版年度:2014
  • 卷号:2014
  • DOI:10.1155/2014/926371
  • 出版社:Hindawi Publishing Corporation
  • 摘要:The pre-signal system can improve the efficiency of intersection approach under rational design. One of the main obstacles in optimizing the design of pre-signal system is that driving behaviors in the sorting area cannot be well evaluated. The NaSch model was modified by considering slow probability, turning-deceleration rules, and lane changing rules. It was calibrated with field observed data to explore the interactions among design parameters. The simulation results of the proposed model indicate that the length of sorting area, traffic demand, signal timing, and lane allocation are the most important influence factors. The recommendations of these design parameters are demonstrated. The findings of this paper can be foundations for the design of pre-signal system and show promising improvement in traffic mobility.
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