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针对目前仅依靠静态思想和人工经验制定铁路局分界口排空计划的局限性,分析日常空车调配的动态特性,提出空车调配的多时段动态优化思想以及次日路网分界口排空流量的测算方法。探讨研究的实际应用需求和理论计算可行性;基于广义平均旅速建立时空服务网络,根据其特殊性构建支点站间空车动态调配优化模型;针对模型特点提出一种基于混沌思想的粒子群算法,并进行算例验证;通过全路同构支点路网的空车动态调配计算分析,表明模型和算法在应用于解决大规模路网空车动态调配问题时具有一定的适应性,并同时设计了基于空车动态调配计算结论的次日路网分界口排空流量测算方法。
In view of the current limitations of emptying the plan of the railway bureau boundary interface based on static thinking and artificial experience, the dynamic characteristics of daily empty vehicle deployment are analyzed. The idea of multi-period dynamic optimization of empty vehicle deployment and the traffic flow of the next day’s road network boundary are proposed The calculation method. Based on the general average average travel speed, the space-time service network is established, and the optimization model of empty-vehicle dynamic allocation between the support stations is constructed according to its particularity. A particle swarm optimization algorithm based on the chaos theory is proposed according to the characteristics of the model. , And verified by an example. Through the analysis and calculation of the dynamic allocation of empty vehicles on isomorphic fulcrum network, it shows that the model and algorithm have some adaptability when applied to solve the problem of dynamic allocation of empty vehicles on large-scale road network. At the same time, Based on the empty car dynamic allocation calculation conclusion of the next day road network interface discharge rate calculation method.