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为解决公交优先控制策略优化中信号控制与车道功能划分的相互影响问题,从车道功能-信号控制组合优化的角度,基于通用的双环结构,提出以交叉口公交车延误和交叉口社会车流延误为目标的基于车道的单点交叉口公交被动优先控制多目标优化模型。给出了包括车道数、信号配时参数等一组约束条件以确保信号控制及车道功能划分解的可行性和交叉口的安全。运用第2代非支配排序遗传算法(NSGA-Ⅱ)对多目标优化模型进行了求解,并对一个实际交叉口进行了算例分析。结果表明:NSGA-Ⅱ具有较好的收敛性,且能够均匀地逼近模型的Pareto最优前沿的各部分;与传统的Webster方法相比,该公交被动优先控制模型在降低公交车流车均延误和社会车流车均延误综合性能指标上表现较好,并能够给出多目标条件下车道功能划分和信号配时的Pareto解集。
In order to solve the problem of interaction between signal control and lane function in the optimization of bus priority control strategy, from the perspective of lane-function-signal control combination optimization, based on the common double-loop structure, the delay of bus delays and intersection delays The goal of lane-based single-point intersection bus passive priority control multi-objective optimization model. A set of constraints, including the number of lanes and signal timing parameters, are given to ensure the feasibility of signal control and lane function partitioning and the safety of intersections. The second generation non-dominated ranking genetic algorithm (NSGA-Ⅱ) is used to solve the multi-objective optimization model, and an actual intersection is analyzed. The results show that NSGA-Ⅱ has better convergence and can approach the Pareto optimal front of the model uniformly. Compared with the traditional Webster method, the passive priority control model of the bus can reduce the delay of the bus flow And social car flow are delayed on the overall performance of the better performance indicators, and can be given under multi-objective conditions lane division and signal timing Pareto solution set.