基于双层模型的高速铁路车站能力计算与评估

摘要

For a railway system, the interactive effects between the fixed equipments and their active counterparts will embody on the time dimension. According to the characters of the passenger flow and the topology of the station, from the demand of the passenger market, this paper defined a train-at-station-service-demand-intention set Ω(t@s-train service- emand-intention set,t@s-TSDIS), regarding the time needed for the occupation of the infrastructure to complete the operation of the trains in Ω as the standard for calculating and evaluating the station capacity, and using the aggregation-regional bilevel model system and algorithms, the station capacity was calculated and evaluated. Having known the optimized train occupation order of the station track at a general level, this paper constructed a RTCG,algorithm 1 and algorithm 2 to check the conflicts and optimize the train routes. The optimized object was to minimize the time needed for the occupation of the infrastructure to complete the operation of the trains inΩ. The methodology and algorithms were effectively applied to a high speed railway station ψ.%铁路系统中固定设备与活动设备的各种相互作用的效果最终都体现在时间维度。本文根据高速铁路客流特征规律及车站基础设施的拓扑结构，从服务旅客市场需求的角度出发，定义时段内车站的列车服务-需求意向集合Ω（t@s-train service-demand intention set，t@s-TSDIS），又以集合Ω中列车元素完成运行所需基础设施占用时间为度量标准，提出总体层-局部层的双层模型体系与算法流程表，并计算和评估高速铁路车站能力。在总体层列车占用车站股道时序已知的条件下，构造了资源树冲突图（RTCG）及两个算法（algorithm1与 algorithm2）和进行了局部层冲突检验与进路选择优化。优化的目标是完成时段内集合Ω中列车元素对基础设施占用时间最小。实例应用于某高速铁路车站ψ，验证了模型体系与算法流程的有效性。