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在多值元胞自动机模型(EBCA2模型)的基础上,首先,对最大速度进行了扩展,并引入车辆的加速过程,建立了适用于人力自行车、电动自行车和摩托车的多值元胞自动机交通流模型。然后,对改进模型和非机动车两值元胞自动机模型进行了仿真对比分析。最后,利用改进模型分别模拟了两轮车在不同的最大速度、最大加速度和车辆的慢化行为下的交通流,并分析了这些参数对交通流的影响。仿真结果表明:与两值元胞自动机模型相比,在保证车流的流量-密度-速度特性不受影响的情况下,改进模型大大增加了其仿真速度;车辆的加速过程、慢化车辆数和低速车辆慢化行为都会对系统交通流产生一定影响,加速度变化对交通流影响较大,不同速度下的随机慢化行为对交通流的影响不同。
Based on multivalued cellular automata model (EBCA2 model), firstly, the maximum speed is extended and the acceleration process of the vehicle is introduced to establish a multi-value cellular automaton suitable for human bikes, electric bicycles and motorcycles Machine traffic flow model. Then, the two-valued cellular automata models of improved model and non-motor vehicle are simulated and compared. Finally, the improved model is used to simulate the traffic flow of two-wheeled vehicles under different maximum speeds, maximum accelerations and the vehicle’s moderating behavior respectively. The influence of these parameters on the traffic flow is analyzed. The simulation results show that, compared with the binary cellular automaton model, the improved model greatly increases the simulation speed while ensuring the traffic-density-velocity characteristics of the traffic flow; the vehicle acceleration process, the number of moderated vehicles And low-speed vehicles will have a certain impact on the system traffic flow. The acceleration changes have a greater impact on the traffic flow, and the impact of random-moderation at different speeds on the traffic flow is different.