交通运输系统工程与信息 ›› 2019, Vol. 19 ›› Issue (3): 75-80.

• 智能交通系统与信息技术 • 上一篇    下一篇

基于PFV策略的连续型元胞自动机交通流模型

彭勇*1,沙晓宇 1,刘世洁 2,DENNIS Z. Yu3   

  1. 1. 重庆交通大学 交通运输学院,重庆 400074;2. 海口市交通运输和港航管理局,海口 570135; 3. 克拉克森大学 商学院,波茨坦 NY 13699,美国
  • 收稿日期:2018-11-14 修回日期:2019-03-22 出版日期:2019-06-25 发布日期:2019-06-25
  • 作者简介:彭勇(1973-),男,重庆人,教授.
  • 基金资助:

    教育部人文社会科学研究规划基金/The Ministry of Education of Humanities and Social Science Project(17YJA630079);重庆市研究生教育创新基金/Graduate Education Innovation Fund Project in Chongqing(CYB17129).

Continuous Cellular Automaton Traffic Flow Model Based on PFV Strategy

PENG Yong1, SHA Xiao-yu1, LIU Shi-jie2, DENNIS Z. Yu3   

  1. 1. College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China; 2. Haikou Administration of Transportation and Port Fairway, Haikou 570135, China; 3. The David D. Reh School of Business, Clarkson University, Potsdam NY 13699, USA
  • Received:2018-11-14 Revised:2019-03-22 Online:2019-06-25 Published:2019-06-25

摘要:

科学合理的微观交通流仿真模型是研究交通控制手段有效性的关键.本文结合一种考虑驾驶员视野内前后多车影响的跟驰策略,建立了连续型元胞自动机交通流模型.仿真实验表明,仿真数据与实测数据有较好的拟合性,仿真得到的 K-Q、K-V和 Q-V图能较好地反映实际道路交通流的失稳现象,所建立的模型具有适应不同场景的兼容性与灵活性,能够作为研究我国实际道路交通流问题的仿真工具.

关键词: 综合交通运输, 跟驰策略, 元胞自动机, 交通流, 交通系统仿真

Abstract:

Scientific and reasonable microscopic traffic flow simulation model is the key to study the effectiveness of traffic control means. In this paper, a continuous Cellular Automata (CA) traffic flow model is established based on a car- following strategy that takes into account the influence of multiple vehicles in the driver's field of vision. The simulation results show that the simulated data are in good agreement with the measured data, and the K-Q, K-V and Q-V diagrams obtained from the simulation can better reflect the instability of the actual road traffic flow. The model has the compatibility and flexibility to adapt to different scenarios. It can be used as a simulation tool to study the real road traffic flow problem in China.

Key words: integrated transportation, car-following strategy, cellular automaton, traffic flow, traffic simulation system

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