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  • 标题:Large-scale traffic flow simulation based on intelligent PSO
  • 本地全文:下载
  • 作者:Zeyu Liu ; Gongping Yang
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2022
  • 卷号:355
  • 页码:1-8
  • DOI:10.1051/matecconf/202235502010
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:With the rapid development of urban traffic, a large number of vehicles in cities not only bring convenience to people, but also bring a series of traffic problems, including traffic congestion and high traffic accident rates. Driving speed and waiting time of vehicles are two important factors of traffic problems. To simulate the real urban road traffic flow, a one-dimensional traffic flow grid model was proposed, which considered the nearest and next neighbour car at the same time, and connected the front and rear neighbour cars to optimize the traffic flow. The experiment results showed that our traffic flow grid model can simulate the real urban road traffic flow. In addition, we tried to optimize the urban traffic network model and improved the traffic speed of vehicles and reduced the waiting time.
  • 关键词:Traffic flow simulation;Intelligent PSO;NetLogo
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