基于马尔可夫过程的元胞自动机道路交通模型
A Markov Process Inspired Cellular Automata Model of Road Traffic
摘要：
为了更准确地描述车辆排队中的驾驶行为，提出了一种马尔可夫-间隙元胞自动机模型。它认为，作为一个马尔可夫过程的两个后续车辆之间的间隙的变化，其平稳分布对应于实际间隙的观察分布。该马尔可夫过程的多样性为模型提供了足够的灵活性来描述各种驾驶行为。给出了两个例子来说明如何专门为不同的情况下：通常提到的高速公路上的流量和信号交叉口的启动流。经验观察和模拟结果之间的协议表明，这种新的方法的合理性。
英文摘要：
To 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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
