重载铁路始端技术站列车组合策略优化研究

Research on Optimization of Train Combination Strategy of Heavy-haul Railway Technical Station

重载铁路始端技术站在重载铁路线网中具有举足轻重的地位。针对列车站内组合策略优化问题,通过分析重载列车技术站内作业特点,引入出站列车追踪策略变量,考虑到发线选择、到发线内接发车进路冲突和列车出发时间动态调整等约束的基础上,以单位时间内从技术站发出的货物列车净载重最大为目标,结合列车站内整体作业流程,构建混合整数规划模型,采用混合细菌觅食-离散粒子群算法,并对具体列车站内组合策略进行优化求解。最后,以某技术站为例进行分析,结果表明4 h内,列车站内组合策略优化后发出货运量为18.5万t,与经验方式发出16.5万t相比多2.0万t,技术站输送能力提升12.12%,验证了模型和算法对列车站内组合策略优化的可行性。

The technical station at the beginning of heavy haul railway plays an important role in the heavy haul railway network.In response to the optimization of the train combination strategy in the technical stations,by analyzing the operation characteristics of heavy-duty trains in the stations,the tracking strategy variables of trains departing from the stations were introduced to optimize the combination strategy of the trains in the stations.On the basis of considering the constraints of the selection of arrival-departure tracks,conflict of the tracks between inbound trains and departure trains,the number of arrival-departure tracks and the dynamic adjustment of train departure time,and combining with the overall operation process in the technical station,the mixed integer programming model was constructed to maximum the total load of freight trains departing from the technical stations per unit time.The hybrid bacteria foraging-discrete particle swarm optimization algorithm was used to optimize the combination strategy in the actual technical station.Finally,the results of the case study of a technical station show that within four hours,a total of 185000 tons of freight can be shipped after the optimization of the combination strategy in the station.Compared with the 165000 tons of freight shipped using the empirical method,20000 tons more freight can be shipped under the optimized combination strategy,which improves the transportation capacity of technical stations by 12.12%,thus verifying the feasibility of the model and algorithm in the optimization of the combination strategy in the technical stations.