混合自行车流多值元胞自动机模型及仿真分析

A multi-value cellular automata model for heterogeneous bicycle traffic flow and simulation analysis

为了研究混合自行车流的交通特性,在现有的多值元胞自动机模型中引入两步骤运行机制,将每一个移动过程分为主动移动和跟随移动来表达相邻车辆的瞬间反应,模拟了普通自行车和电动自行车最大速度分别为2元胞/s和3元胞/s的混合自行车流的运行情况。试验结果表明,改进后的模型仿真精度更高。不同参数模拟输出的流密图显示,随着电动自行车比例或车道宽度的增加,自行车道的通行能力相应提高。在三车道试验中,当电动自行车比例从0变为1时,单位宽度车道通行能力增加约29.4%;当车道数从2提高到3时,单位宽度车道通行能力增加22%。

In order to study the traffic characteristics of heterogeneous bicycle flow,a twostep mechanism is introduced in the multi-value cellular automata model.Each moving process is divided into initiative move and following move to express the transient reaction of neighbor bicycles.The update rules of both regular and electric bicycles are more complex,with the maximum speeds of two and three cells per second.Experiments show that the improved model is more consistent with the field observations.The flow-density diagrams of traffic flow under different parameters were proposed.The simulation results show that,with the increase in the proportion of electric bicycles or the width of the lanes,the capacity of bicycle lanes is correspondingly increased.In the three-lane experiment,the capacity of per unit width lane increased by about 29.4% when the proportion of electric bicycles changed from 0 to 1.When the number of lanes increased from 2 to 3,the capacity of per unit width lane increased by 22%.