高速铁路高峰小时运力资源优化配置研究

为了解决高速铁路线路合流区段高峰小时通过能力紧张的问题,本文结合车站间隔时间随着相邻列车运行状态及运行速度、车站而动态变化的特征,将精确到1 s的列车追踪间隔时间和车站间隔时间作为输入条件,以最大化高峰小时列车开行数量、优先组织开行停站较少的列车为目标,提出基于列车运行时空路径的高峰小时运力资源配置模型,设计分支定界求解算法,采用列生成技术降低模型求解规模.以包含7个车站的客流区段作为算例,验证模型和算法的有效性.结果表明,模型能够进一步提高运输效率、满足旅客运输需求.

Allocation of Transport Capacity Resources during the Peak Hour on High-speed Railway

Due to high capacity utilization during the peak hour on confluence sections of high- speed railway, an allocation model of transport capacity resources is proposed based on train paths in time-space graph. In the model, headway in stations changes with movement status and operation speed of adjacent trains and stations. Meanwhile, as an input of model, headway in sections and stations are accurate to 1 s. The objective is maximizing the number of trains operated and trains with less stops are organized preferentially. Branch and bound algorithm is used to solve the model and column generation method is adopted to reduce the scale of the model. A section with 7 stations is taken as an example to verify the effectiveness of the model and algorithm. The results show that the proposed model can improve transport efficiency and meet passenger transportation demand further.