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  • 标题:A Cell Automation Traffic Flow Model for Mixed Traffic
  • 本地全文:下载
  • 作者:Guangjiao Chen ; Guangjiao Chen ; Fankun Meng
  • 期刊名称:Procedia - Social and Behavioral Sciences
  • 印刷版ISSN:1877-0428
  • 出版年度:2013
  • 卷号:96
  • 页码:1412-1419
  • DOI:10.1016/j.sbspro.2013.08.160
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractBased on the existing research on cellular automata traffic flow model, this paper proposed an improved model for mixed traffic flow in real-time traffic data environment in China. Driver's characteristic is defined according to the NS model and the FI model. In accordance with the mixed traffic flow, a cellular automaton traffic model is proposed. In this model, vehicles are defined in different lengths and different maximum speed, and mixed on single lane and bi-lane with periodic boundary condition. The traffic flow characteristics are analyzed and discussed by computer numerical simulation.
  • 关键词:Cellular automata;the mixed traffic flow;Computer numerical simulation
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