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中文摘要：
公交优先是先进公共交通系统中的重要组成部分,对公交优先下的城市道路交叉口交通信号进行优化控制,能有效提高城市公共交通运行效率。为实行公交优先并兼顾社会车辆通行需求,建立了一种以乘客人均延误最小为目标的单交叉口交通信号配时模型,并提出一种动态自适应混沌粒子群优化算法对该模型进行求解。该算法引入动态自适应策略和混沌优化策略来解决标准粒子群优化算法早熟、寻优能力低等问题。仿真实验表明：所提出的模型和算法具有较好的实用性;通过所提算法能得到较优的信号配时方案,社会车辆延误、公交车平均延误和人均延误时间均有一定的减少。
英文摘要：
Bus priority is an important part of advanced public transport system. The optimization of traffic signal of urban road intersection under bus priority can effectively improve the efficiency of urban public transport. In order to achieve bus priority and take into account the needs of social vehicles,this paper established a single intersection traffic signal timing model which was based on the goal of minimizing passenger per capita delay,and proposed a dynamic adaptive chaotic Particle Swarm Optimization algorithm to solve the model. The algorithm introduced dynamic adaptive strategy and chaos optimization strategy can solve the problems of premature convergence and low searching ability of standard particle swarm optimization. Simulation experiments show that the proposed model and algorithm have good practicability,and a better signal timing scheme can be obtained through the proposed algorithm which can reduce the delay of vehicles,the average delay of bus and the per capita delay.
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