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26 April 2024
 
  » arxiv » 0803.2624

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A Markov Process Inspired Cellular Automata Model of Departure Headways
Fa Wang ; Li Li ; Jianming Hu ; Yan Ji ; Danya Yao ; Yi Zhang ; Xuexiang Jin ; Yuelong Su ; Zheng Wei ;
Date 18 Mar 2008
AbstractTo accurately describe the driving behaviors in congested traffic, a namely Markov-Gap cellular automata model is proposed in this paper. Different from most known CA models, it gives an intuitive description of the vehicles’ stop-and-go movements in terms of the gap variation process between two consequent vehicles and thus the associated velocity changes. More precisely, the variation process of the gaps is first viewed and modeled as a Markov process, where the multiformity of this Markov process provides the model enough flexibility to describe diversified driving behaviors. Then, the velocity adjusting process is built upon this gap-variation model. As an example, this paper illustrates how to specialize the proposed model to satisfactorily explain the departure headways that are observed. The agreement between the empirical observations and the simulation results suggests the soundness of this new approach.
Source arXiv, 0803.2624
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