中国物理B ›› 2009, Vol. 18 ›› Issue (8): 3271-3278.doi: 10.1088/1674-1056/18/8/030

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A modified weighted probabilistic cellular automaton traffic flow model

庄倩, 贾斌, 李新刚   

  1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
  • 收稿日期:2008-12-31 修回日期:2009-02-05 出版日期:2009-08-20 发布日期:2009-08-20
  • 基金资助:
    Project supported by the State Key Development Program for Basic Research of China (Grant No 2006CB705500), the National Natural Science Foundation of China (Grant Nos 70631001, 70501004 and 70701004), and Program for New Century Excellent Talents in University (Grant No CET-07-0057).

A modified weighted probabilistic cellular automaton traffic flow model

Zhuang Qian(庄倩), Jia Bin(贾斌)†, and Li Xin-Gang(李新刚)   

  1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
  • Received:2008-12-31 Revised:2009-02-05 Online:2009-08-20 Published:2009-08-20
  • Supported by:
    Project supported by the State Key Development Program for Basic Research of China (Grant No 2006CB705500), the National Natural Science Foundation of China (Grant Nos 70631001, 70501004 and 70701004), and Program for New Century Excellent Talents in University (Grant No CET-07-0057).

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摘要： This paper modifies the weighted probabilistic cellular automaton model (Li X L, Kuang H, Song T, et al 2008 Chin. Phys. B 17 2366) which considered a diversity of traffic behaviors under real traffic situations induced by various driving characters and habits. In the new model, the effects of the velocity at the last time step and drivers' desire for acceleration are taken into account. The fundamental diagram, spatial-temporal diagram, and the time series of one-minute data are analyzed. The results show that this model reproduces synchronized flow. Finally, it simulates the on-ramp system with the proposed model. Some characteristics including the phase diagram are studied.

Abstract: This paper modifies the weighted probabilistic cellular automaton model (Li X L, Kuang H, Song T, et al 2008 Chin. Phys. B 17 2366) which considered a diversity of traffic behaviors under real traffic situations induced by various driving characters and habits. In the new model, the effects of the velocity at the last time step and drivers' desire for acceleration are taken into account. The fundamental diagram, spatial-temporal diagram, and the time series of one-minute data are analyzed. The results show that this model reproduces synchronized flow. Finally, it simulates the on-ramp system with the proposed model. Some characteristics including the phase diagram are studied.

Key words: synchronized flow, probabilistic distribution function, on-ramp system, cellular automaton

中图分类号:  (Land transportation)

  • 89.40.Bb
02.50.Cw (Probability theory) 05.45.Tp (Time series analysis) 05.45.Xt (Synchronization; coupled oscillators) 45.70.Vn (Granular models of complex systems; traffic flow)