基于时空不均匀的交叉口信号控制自主优化

Signal Control Autonomous Optimizationat Intersection Based on Uneven Space-Time Properties of Traffic Flow

针对交叉口信号控制自主化程度不足的问题,基于交通流的时空不均匀特性,分别在时间维度引入双环相位方案和在空间维度设置左转待行区,以有效绿灯时间和信号周期为变量,构建以交叉口平均延误最小和通行能力最大为目标的信控自主优化模型,采用差分进化算法(DE)求解模型得到最优配时方案。选择潮州市一交叉口作为实际案例对象应用优化模型,研究结果表明:基于时空不均匀的交叉口信控自主优化模型对交叉口的优化结果更好,相比于对称相位方案,本模型在交叉口的通行能力上提升了7.84%,车辆平均延误降低了30.78%。

Based on the uneven space-time properties of traffic flow,the dual phase is introduced from the time dimension,and the left turn waiting area is built from the space dimension to solve the problem that the degree of signal control autonomy at intersection is insufficient.The target of the model are the average delay and capacity at the intersection,and the optimization parameters are the green time of each phase and the signal cycle.The differential evolution algorithm(DE)is applied to solve this optimization model in order to get the optimal timing plan.The flow data of an intersection of Chaozhou city is chosen as an example,the results show that:the signal control autonomous optimization model based on the uneven space-time properties of traffic flow performs well,compared with the symmetric phase method,the capacity at the intersection is increased by 7.84%,and the average delay at the intersection is reduced by 30.78%.