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针对城市交通流量变化产生的问题,在交叉口信号灯配时方案改进的基础上建立了动态路径诱导的双层优化模型,上层模型以行驶时间为目标函数,下层模型以总交叉口延误最小为目标函数。利用改进蚁群算法来求解优化模型,从而获得多准最优路径。以实际交叉口为例,将信号灯配时改进前、后的模型计算结果进行比较。结果表明:应用信号灯配时改进后的模型获得的路径更省时,交叉口等待通行时间更短。
In order to solve the problems caused by urban traffic flow changes, a two-layer dynamic model of dynamic path guidance is established based on the improvement of traffic signal timing scheme at the intersection. The upper model takes the driving time as the objective function and the lower model aims at the minimum total delay function. The improved ant colony algorithm is used to solve the optimization model to obtain the multi-quasi-optimal path. Taking the actual intersection as an example, the calculation results of the model before and after the signal timing is improved are compared. The results show that the path obtained by the improved model with signal timing is more time-saving and the waiting time for crossing is shorter.