中国物理B ›› 2015, Vol. 24 ›› Issue (5): 58902-058902.doi: 10.1088/1674-1056/24/5/058902

• INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY • 上一篇    下一篇

A cellular automata model of traffic flow with variable probability of randomization

郑伟范a b, 张继业a   

  1. a Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu 610031, China;
    b Institute of Information Research, Southwest Jiaotong University, Chengdu 610031, China
  • 收稿日期:2014-09-25 修回日期:2014-12-01 出版日期:2015-05-05 发布日期:2015-05-05
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant Nos. 11172247, 61273021, 61373009, and 61100118).

A cellular automata model of traffic flow with variable probability of randomization

Zheng Wei-Fan (郑伟范)a b, Zhang Ji-Ye (张继业)a   

  1. a Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu 610031, China;
    b Institute of Information Research, Southwest Jiaotong University, Chengdu 610031, China
  • Received:2014-09-25 Revised:2014-12-01 Online:2015-05-05 Published:2015-05-05
  • Contact: Zhang Ji-Ye E-mail:jyzhang@home.swjtu.edu.cn
  • About author:89.40.Bb; 02.50.-r; 05.10.Ln
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant Nos. 11172247, 61273021, 61373009, and 61100118).

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摘要： Research on the stochastic behavior of traffic flow is important to understand the intrinsic evolution rules of a traffic system. By introducing an interactional potential of vehicles into the randomization step, an improved cellular automata traffic flow model with variable probability of randomization is proposed in this paper. In the proposed model, the driver is affected by the interactional potential of vehicles before him, and his decision-making process is related to the interactional potential. Compared with the traditional cellular automata model, the modeling is more suitable for the driver's random decision-making process based on the vehicle and traffic situations in front of him in actual traffic. From the improved model, the fundamental diagram (flow–density relationship) is obtained, and the detailed high-density traffic phenomenon is reproduced through numerical simulation.

关键词: traffic flow, interactional potential, probability of randomization, cellular automata

Abstract: Research on the stochastic behavior of traffic flow is important to understand the intrinsic evolution rules of a traffic system. By introducing an interactional potential of vehicles into the randomization step, an improved cellular automata traffic flow model with variable probability of randomization is proposed in this paper. In the proposed model, the driver is affected by the interactional potential of vehicles before him, and his decision-making process is related to the interactional potential. Compared with the traditional cellular automata model, the modeling is more suitable for the driver's random decision-making process based on the vehicle and traffic situations in front of him in actual traffic. From the improved model, the fundamental diagram (flow–density relationship) is obtained, and the detailed high-density traffic phenomenon is reproduced through numerical simulation.

Key words: traffic flow, interactional potential, probability of randomization, cellular automata

中图分类号:  (Land transportation)

  • 89.40.Bb
02.50.-r (Probability theory, stochastic processes, and statistics) 05.10.Ln (Monte Carlo methods)