基于信息交互的元胞自动机车辆换道行为模型研究

相关车辆间的信息交互可能会对车辆换道过程中待换道车辆的决策产生较大影响。基于车辆换道行为过程中的不同情形，考虑待换道车辆换道意图产生与换道行为实施的时间关系，建立综合性的车辆换道模型，该模型下车辆在不同条件时将分别执行自由换道及信息交互式换道。仿真中通过改变交通流密度和目标车道后车加速概率，结果表明，相对于其它换道模型，新模型使整个路段的交通流平均速度变大，在一定程度上能够减少路段交通拥阻，提高路段通行能力，新模型中换道行为规则更符合实际交通流状态。

Study of Vehicle Lane-changing Model of Cellular Automata Based on Information Interaction

The course of vehicle lane-changing behavior not only depends on the decision-making of vehicle ready to change lane, but also relates to information interaction between the vehicle ready to change lane and the rear Vehicle on the target lane. Based on different situauons of vehicles lanes-changing process, the time relation between lane- changing intention appliance and lane-changing action im plementtation is considered,and the com-prehensive lane-changing model is built.Respectively,the free lane-changing or lanes-changing from information interaction is executed under different conditions.By changing traffic flow density and the acceleration probability of the rear vehicle on target lane,simulation results showed that the average speed of whole road section was improved in the new model ,and road traffic congestion was relieved.The vehicle lane-changing rules in the new model are more in line real traffic flow state.