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我国大城市交通非机动车流主要由普通自行车与电动自行车构成,二者具有异质性,主要体现在速度、横向位移意愿以及随机扰动引起的减速状态的差异,并具体表现为车辆影响域、横向位移倾向值、随机慢化概率的不同。采用多车道元胞自动机(Cellular Automata,CA)模型对混合非机动车流进行模拟研究。基于此分析了车辆构成比例对速度-密度、流量-密度及可实现的横向位移行为的影响。模拟结果显示:电动自行车的构成比例与前二者关系紧密;实现的横向位移数目,即横向位移率随密度的增长呈现先增后减趋势,且上升阶段会出现驻点,该点的产生表明低密度条件下出现了明显的偏析现象。
The non-motorized traffic flow in metropolitan cities in China is mainly composed of ordinary bicycles and electric bicycles. The two are heterogeneous, which are mainly reflected in the differences of speed and lateral displacement intention and the deceleration state caused by stochastic disturbance, and are specifically manifested in the vehicle influence domain, horizontal Displacement tendency value, the probability of different random slow. A multi-lane cellular automata (Cellular Automata, CA) model was used to simulate mixed non-motorized vehicle flow. Based on this, the influence of vehicle composition ratio on speed-density, flow-density and lateral displacement can be analyzed. The simulation results show that the composition ratio of electric bicycles is closely related to the former two; the number of lateral displacements realized, that is, the lateral displacement rate increases firstly and then decreases with the increase of density, and the stagnation point appears in the rising phase. The generation of this point shows Low density conditions appeared obvious segregation phenomenon.