基于双层模型的高速铁路车站能力计算与评估  

Calculation and Evaluation of Station Capacity for High Speed Railway Based on Bilevel Model

作　　者：张嘉敏[1] 

机构地区：[1]山东科技大学交通学院

出　　处：《交通运输工程与信息学报》2014年第4期39-48,共10页Journal of Transportation Engineering and Information

基　　金：山东科技大学人才引进科研启动基金项目资助(2014RCJJ025)

摘　　要：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?(t@s-train service-demand intention set,t@s-TSDIS),又以集合?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?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。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- emend-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 bileve[ 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 in Ω. The methodology and algorithms were effectively applied to a high speed railway station ψ.

关 键 词：铁路运输 高速铁路车站 能力计算与评估 双层模型 

分 类 号：U292[交通运输工程—交通运输规划与管理]