既有线运能释放及机车交路延长条件下编组站改编能力配置的优化

Optimization on Resorting Capacity of Marshalling Station under Transport Capacity Release of Existing Line and Extended Locomotive Routing

通过设置虚拟运量增长系数模拟既有线运能释放后运量的变化趋势,以使路网上编组站的扩能投资费用与车流组织费用之和最小(综合效果最优)为目标,构建考虑机车交路延长的编组站改编能力配置优化模型;并采用自适应变异粒子群优化算法实现模型的求解,精确得到路网上各编组站的能力配置需求。研究表明,机车交路延长后能够有效降低无调中转费用,直达去向的数量会随着运量的增长和机车交路的延长而增加;编组站改编能力的合理配置与直达去向方案、车流改编方案密切相关,编组站扩能方案必须考虑全局并以综合效果最优为目标展开协同优化。

The trend for traffic volume after the transport capacity release of the existing line was simulated by setting the virtual volume growth coefficient.Considering the extended locomotive routing,the optimization model for the resorting capacity of marshalling station was constructed,with minimizing the capacity expansion investment and car flow organization cost（the optimal comprehensive effect）as the target.The model was solved by particle swarm optimization algorithm with adaptive mutation,and the capacity allocation demand for each marshalling station of railway network was accurately obtained.Results show that the extended locomotive routing can effectively lower the transit cost without resorting,and the number of through trains will be increased with the growth in traffic volume and the extension of locomotive routing.The rational allocation of the resorting capacity of marshalling station is closely related to through train scheme and car flow resorting scheme.The overall situation must be taken into account for the capacity expansion scheme of marshalling station and the collaborative optimization must be carried out with the optimal comprehensive effect as the target.