STUDY ON EFFECTS OF THE STOCHASTIC DELAY PROBABILITY FOR 1D CA MODEL OF TRAFFIC FLOW

Yu Xue (), Yan-Hong Chen and Ling-Jiang Kong
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Yu Xue: Department of Physics, Guangxi University, NanNing, 530003, P. R. China
Yan-Hong Chen: Department of Physics, Guangxi University, NanNing, 530003, P. R. China
Ling-Jiang Kong: Key Laboratory of GuangXi Numerical Computation and Simulation, GuangXi Normal University, Guilin, 541001, P. R. China

International Journal of Modern Physics C (IJMPC), 2004, vol. 15, issue 05, 721-727

Abstract: Considering the effects of different factors on the stochastic delay probability, the delay probability has been classified into three cases. The first case corresponding to the brake state has a large delay probability if the anticipant velocity is larger than the gap between the successive cars. The second one corresponding to the following-the-leader rule has intermediate delay probability if the anticipant velocity is equal to the gap. Finally, the third case is the acceleration, which has minimum delay probability. The fundamental diagram obtained by numerical simulation shows the different properties compared to that by the NaSch model, in which there exist two different regions, corresponding to the coexistence state, and jamming state respectively.

Keywords: Traffic flow; cellular automaton; fundamental diagram; coexistence state; jam (search for similar items in EconPapers)
Date: 2004
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DOI: 10.1142/S0129183104006133

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