城市交通车流拥堵疏散路径优化识别研究

摘要

城市交通拥堵路径的优化可以有效的节约在发生交通事故之后对拥堵路况的疏散时间.在进行车辆疏散路径优化时,需组建交通事故后拥堵路况车流疏散路径识别矩阵,完成对拥堵路径的优化.传统方法利用差分进化算法对拥堵区域中车辆疏散路径优化,但获取的识别矩阵不准确,优化效果差.提出基于蚁群算法的在交通事故下拥堵路况车流疏散路径识别方法.先融合中观交通动力学理论计算出疏散路径排队车辆消散率及车辆移动速度,获取路径低密度状态下的非疏散交通量概率密度函数,组建交通事故下拥堵路况车流疏散路径识别问题矩阵,完成交通事故下对拥堵路况车流疏散路径优化识别.仿真结果表明,所提方法可以为拥堵路况车流疏散路径的识别提供科学的依据.%In this paper,we propose an identification method for the evacuation route of vehicle stream under congestion road condition in the traffic accident based on the ant colony algorithm.Firstly,the dissipation rate of queuing vehicle and vehicle movement speed were worked out by integrating with the mesoscopic traffic kinetic theory.Then,the probability density function of non-evacuation traffic volume was acquired under low density of route.Finally,the identification matrix was built for evacuation route of vehicle steam under congestion road condition after traffic accident and completed the optimization identification for the evacuation route.The simulation results show that the method can provide the scientific basis for the evacuation route identification of vehicle stream under congestion situation.