城市交通干线动态双向绿波优化控制模型

A Dynamic Dual-direction Green Wave Optimization Control Model for Urban Arterial Roads

针对城市交通干线协调控制无法适应交通流的随机性和不确定性、无法有效调节双向交通流的不均衡性等不足的现状,在分析城市干线系统控制方式的基础上,建立了以干线双向绿波到达交叉口的时刻差值最小为目标的交通干线信号动态优化控制模型,并采用遗传算法对模型进行求解。相关的案例分析显示,相对于传统的MAXBAND模型,所提出的控制模型实际有效绿波带宽增加18.4%,主干方向车辆平均延误减少16.85%,可以有效提高城市交通干线控制的效率。

In view of the current situation that urban traffic arterial road coordination control cannot adapt to the randomness and uncertainty and also unable to effectively regulate the imbalance of dual-way traffic flow, based on the analysis of unban arterial road control mode, the arterial road signal dynamic optimization control model with the goal of minimization of time difference of dual-direction green wave arrived at intersection is designed. The optimized solution is obtained with genetic algorithm. The related case analysis shows that compared with the traditional MAXBAND model, the proposed model increased the effective green wave band width by 18.4%, and decreased the arterial average vehicle delay by 16. 85%, which can effectively improve the efficiency of urban traffic arterial road control.