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Chin. Phys. B, 2009, Vol. 18(8): 3271-3278    DOI: 10.1088/1674-1056/18/8/030
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A modified weighted probabilistic cellular automaton traffic flow model

Zhuang Qian(庄倩), Jia Bin(贾斌), and Li Xin-Gang(李新刚)
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
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.
Keywords:  synchronized flow      probabilistic distribution function      on-ramp system      cellular automaton  
Received:  31 December 2008      Revised:  05 February 2009      Accepted manuscript online: 
PACS:  89.40.Bb (Land transportation)  
  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)  
Fund: 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).

Cite this article: 

Zhuang Qian(庄倩), Jia Bin(贾斌), and Li Xin-Gang(李新刚) A modified weighted probabilistic cellular automaton traffic flow model 2009 Chin. Phys. B 18 3271

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