吉林大学学报(工学版) ›› 2009, Vol. 39 ›› Issue (增刊2): 66-0070.

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Random noise in driving behavio rbased on cellular automata

DING Jian-xun1,HUANG Hai-jun1,TANG Tie-qiao2   

  1. 1.School of Economics and Management,Beijing University of Aeronautics and Astronautics,Beijing 100191,China;2.School of |Transportation Science and Engineering,Beijing University of Aeronautics and Astronautics,Beijing 100191,China
  • Received:2008-09-05 Online:2009-09-30 Published:2009-09-30
  • Contact: HUANG Hai-jun E-mail:haijunhuang@buaa.edu.cn

Abstract:

In this paper,considering different evolution behaviors in acceleration and deceleration of driving and the reinforcement learning,we propose a modified cellular automaton model in which the random acceleration behavior evolves with the driver's remembering to historic experience and the traffic condition around.Simulation results show that the proposed model can reveal the influence of driver’s reinforcement learning on traffic and generate more realistic traffic phenomena.

Key words: engineering of communication and transportation, traffic flow, cellular automaton model, reinforcement learning effect

CLC Number: 

  • U491
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