A Markov Process Inspired Cellular Automata Model of Road Traffic

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dc.creatorWang, Fa
dc.creatorLi, Li
dc.creatorHu, Jianming
dc.creatorJi, Yan
dc.creatorYao, Danya
dc.creatorZhang, Yi
dc.creatorJin, Xuexiang
dc.creatorSu, Yuelong
dc.creatorWei, Zheng
dc.date2008-03-18
dc.date2008-05-02
dc.date.accessioned2026-07-07T13:07:01Z
dc.date.available2026-07-07T13:07:01Z
dc.descriptionTo provide a more accurate description of the driving behaviors in vehicle queues, a namely Markov-Gap cellular automata model is proposed in this paper. It views the variation of the gap between two consequent vehicles as a Markov process whose stationary distribution corresponds to the observed distribution of practical gaps. The multiformity of this Markov process provides the model enough flexibility to describe various driving behaviors. Two examples are given to show how to specialize it for different scenarios: usually mentioned flows on freeways and start-up flows at signalized intersections. The agreement between the empirical observations and the simulation results suggests the soundness of this new approach.
dc.descriptionrevised according to the helpful comments from the anonymous reviewers
dc.identifierhttps://arxiv.org/abs/0803.2624
dc.identifierhttp://arxiv.org/abs/0803.2624
dc.identifierInternational Journal of Modern Physics C, Volume 20, Issue 01, pp. 117-131 (2009).
dc.identifierdoi:10.1142/S0129183109013509
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/227964
dc.subjectData Analysis, Statistics and Probability
dc.titleA Markov Process Inspired Cellular Automata Model of Road Traffic
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