基于元胞自动机的自行车流模型

A Bicycle Flow Model Based on Cellular Automata

研究交通系统中自行车流模型问题,为克服传统交通流模型难以表达自行车不遵循车道随机蛇行和穿插特性,能获得精确自行车交通流参数的问题,提出一个新的基于元胞自动机理论的自行车流模型。在对自行车元胞空间结构及状态值等参数进行重新定义的基础上,模型中创新地引入随机偏移概率来描述自行车骑行时的随机蛇行与穿插行为。在模型中引入不同随机偏移概率值来仿真,对所获得交通流参数分析,认为蛇行及穿插行为使自行车流容易发生阻塞并降低了车道通行能力,结果表明,符合自行车流的观测统计特征和客观现象,说明引入随机偏移概率的合理性。模型为进一步研究混合交通流阻塞形成机理提供了一种可靠方法。

In order to overcome the demerit that the traditional traffic flow model is difficult to express the snaking and interweaving characteristics of bicycle flow,a new bicycle Flow model based on cellular automata is provided to obtain accurate flow parameters.Through redefining the cellular construction,the innovatory stochastic offset probability of the bicycle basic cellular automata model is introduced.Analysis of the traffic flow parameters from simulation based on the new model with different stochastic offset probability values shows that the snaking and interweaving behaviors of bicycle flows make bike streams prone to congestion and reduce traffic capacity.The conclusion consistent with the observed demographic characteristics and objective phenomena shows the introduction of stochastic offset probability is reasonable.The model provides a reliable method for further study of the mixed traffic flow blocking mechanism.