基于改进NSGA-Ⅱ的交叉口信号配时多目标优化

Multi-objective optimization of intersection signal timing based on improved NSGA-Ⅱalgorithm

针对城市交叉口信号配时多目标优化的求解效率问题,设计了一种基于改进NSGA-Ⅱ的城市交叉口信号配时优化方案。该方法采纳车辆延误、停车次数、通行能力3个评价指标设计了多目标信号配时优化模型,并提出了改进的NSGA-Ⅱ(NSGA-Ⅱ-DE)对配时模型进行求解。NSGA-Ⅱ-DE采用DE/Rand/1的全局变异策略对NSGA-Ⅱ算法选择策略进行改进,并设计了种群动态更新算法,提高了算法的收敛速度和求解精度。结果表明改进算法获得了较好的Pareto最优解,通过典型交叉口仿真验证,相对于NSGA-Ⅱ算法,NSGA-Ⅱ-DE方法设计配时方案平均车辆延误优化提升13.42%,排队长度优化提升16.73%,平均停车次数优化提升15.50%,能够实现城市交叉口的最优化控制。

A method for optimizing signal timing at urban intersections based on the improved NSGA-Ⅱalgorithm is proposed in this study to address the efficiency problem of multi-objective optimization of signal timing at urban intersections.The method first builds a multi-objective signal timing optimization model by using the three performance indicators of vehicle delay,number of stops and capacity,and then proposes an improved NSGA-Ⅱ(NSGA-Ⅱ-DE)algorithm to solve the timing model.The NSGA-Ⅱ-DE modifies the NSGA-Ⅱalgorithm selection strategy by using the global variation strategy of DE/Rand/1,and increases the convergence speed and solution accuracy of the algorithm by designing the population dynamic update algorithm.The results show that the improved algorithm obtains a better Pareto optimal solution.Through the simulation verification of typical intersections,it is found that compared with the NSGA-Ⅱalgorithm,the average vehicle delay optimization of the timing scheme of this method is improved by 14.04%,the queue length optimization is improved by 18.39%,and the average stop number optimization is improved by 18.22%.The optimization method proposed in this study can realize the optimal control of urban intersections.