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基于马尔科夫链间距模型的静态车队车距分布解释
A Markov-Gap Model for Static Queuing Spacing Distributiont
【摘要】 实际观测表明,路边停车区泊车时的车间距分布符合高斯幺正系综分布,而道路交叉口红灯前车辆排队时的车间距分布符合高斯辛系综分布。文章探究了这两者的差别,并提出了一种基于马尔科夫链间距模型的解释。计算机仿真的结果表明,这个模型能较好的解释为什么在相似车辆运动情形下会产生2种不尽相同的分布;表明马尔科夫链间距模型可以广泛应用于交通仿真领域。
【Abstract】 According to the collected data,the spacing distribution of parking vehicles follows a Gaussian Unitary Ensembles(GUE) distribution,and queuing vehicles in front of signalized intersection follow a Gaussian Symplectic Ensembles(GSE) distribution.In this paper,a Markov-Gap model was proposed to explain and reproduce the phenomenon.The simulation gave a satisfactory explanation of why different distributions could be formulated in two similar situations.The results also indicate that Markov-Gap model could be applied in many other traffic simulations.
【Key words】 spacing distribution; parking spacing; queuing spacing; Markov-Gap model;
- 【文献出处】 交通与计算机 ,Computer and Communications , 编辑部邮箱 ,2008年03期
- 【分类号】U491.26
- 【被引频次】2
- 【下载频次】202