中文摘要：

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。

英文摘要：

In order to solve the problems of mutual impacts between lane function allocation and signal control in passive bus priority control strategies,aimed at dual-ring structure,a lane-based multi-objectives model was proposed based on the idea of integrated design and combination optimization of lane function and signal control.The model regarded bus delay and social vehicle flows as objectives.A set of constraints including numbers of different functional lanes and length of signal timings were set up to ensure feasibility and safety of resulting optimal lane function markings and signal control.A non-dominated sorting genetic algorithm-Ⅱ（NSGA-Ⅱ） was used to solve the model.A case study of a real intersection was carried out.Results show that NSGA-Ⅱ has good astringency,and can uniformly approximate to each part of Pareto frontier of the model.Compared with traditional Webster method,the proposed model is more efficient in decreasing bus flow average delay and social vehicle flow average delay and can generate an optimal Pareto solution set for lane function allocation and signal timing.