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交通流随机行为的研究对于理解交通系统的内在演化规律具有重要作用.基于元胞自动机模型和顾前势模型,提出了一种考虑加权顾前势的交通流模型.通过引入顾前势加权系数及对越靠近自身车辆的相互作用势赋予越大的权重,使得建模过程更符合实际交通中司机根据前面车辆和环境情况进行随机决策的过程.通过数值模拟,再现了丰富的高密度交通行为.仿真结果表明,加权系数在高密度情况下作用明显,更有利于在保持较高交通密度的同时,具有较高的交通流量和道路通行能力.
The study of stochastic behavior of traffic flow plays an important role in understanding the inherent evolution of traffic system.Based on the cellular automata model and the forward power model, a traffic flow model considering weighted forward power is proposed. The greater the weight of the coefficient and the interaction potential of the vehicle closer to the vehicle make the modeling process more in line with the actual decision of the driver in the traffic according to the previous vehicle and the environment.After numerical simulation, The simulation results show that the weighting coefficient plays an obvious role in high density and is more conducive to maintaining higher traffic density and higher traffic flow and road capacity.