基于自适应遗传算法的双环信号配时优化模型

The Dual-Phase Signal Timing Optimization Model Based on Adaptive Genetic Algorithm

为了有效利用交叉口时空资源,缓解城市交通拥堵,在双环相位方案的基础上,建立以交叉口平均延误为优化目标,以各相位绿灯时长为优化参数的双环信号配时优化模型,并采用自适应遗传算法对模型进行求解。选取4个十字交叉口,实地调查获得交叉口晚高峰流量数据,分别使用经典的Webster配时法和双环信号配时优化模型对交叉口信号配时方案进行优化。结果表明:与Webster配时法相比,双环信号配时优化模型优化结果更好,分别使4个交叉口平均延误减少11.36%、13.74%、3.72%和9.00%,能够有效改善交叉口运行状况;并且交叉口同相位内的两个流向的流量越不均衡,双环信号配时优化模型优化结果越好。

On the basis of the dual phase, a dual-phase signal timing optimization model is built in order to effectively utilize the spatial and temporal resources at the intersection and alleviated the urban traffic congestion. The optimization target of the model is the average delay at the intersection, and the optimization parameters are the green thne of each phase. And the adaptation genetic algorithm is applied to solve this optimization model. The flow data of the evening peak is investigated at 4 intersections, and the classic Webster timing method and the optimization model proposed in this paper are used to optimize the timing in these intersections respectively. The results show that the dual-phase signal timing optimization model performs well compared with the Webster tflning method, and the average delay at these intersections is reduced by 11.36%, 13.74%, 3.72% and 9.00% respectively, the operation of the intersection can be effectively improved; and the more unbalanced the flow of the two directions in the same phase is, the better optimization the dual-phase signal timing optimization model performs.