技术站间货物列车协同配流方案研究

Collaborative Operation for Wagon-flow Allocation of Freight Trains at Technical Stations

技术站间货物列车协同作业组织模式,可实现各站获益,整体加强,对提升铁路运输生产效率具有重要意义.本文建立技术站间货物列车协同配流模型.模型以最大化两技术站的正点出发列车数作为目标函数,采用启发式遗传算法进行寻优,得到货物列车解编顺序和配流方案.最后,通过对算例进行实验分析,验证协同配流模型的实用性.结果表明,技术站间协同配流作业明显压缩车辆在站总停留时间,增加了阶段计划内正点出发列车数,进而提高了技术站内线路使用能力.

The cooperative operation organization mode of freight trains between technical stations can realize the benefits of each station and strengthen the whole,which is of great significance for improving the production efficiency of railway transportation.A collaborative optimization model for wagon-flow allocation of freight trains based on adjacent technical stations is proposed in the study to maximize the number of trains departing on time at the two technical stations.The heuristic genetic algorithm is adopted to solve the model,so as to obtain the hump sequence and allocation scheme of freight trains.Finally,through the experimental analysis of the example,the practicability of the collaborative flow distribution model is verified.The optimization results show that the collaborative operation for wagon-flow allocation of the technical stations significantly reduces the total detention time of wagon at stations and increases the departure number of trains on scheduled time in the stage plan,which improves the service capacity of the lines in the technical stations.