基于车流接续代价最小的编组站配流计划优化研究

编组站是铁路运输系统的重要一环,其作业效率直接影响铁路运输效率和经济效益。为了高效、经济地完成列车解编,提高铁路运输的市场竞争力,需要优化编组站配流。通过引入"惩罚系数"衡量到、发列车接续的代价,将配流问题转化为运筹学的运输问题,考虑编组站实际作业的不确定性和复杂性,以车流接续总代价最小为目标函数,建立编组站配流优化模型,并设计算法进行求解,得到优化的配流计划,验证编组站配流优化模型和算法的有效性,可以提高和优化编组站作业效率。

Optimization of Flow Distribution at Marshalling Station Based on the Minimum Cost of Traffic Flow Succession

Marshalling station is an important part of the railway transportation system, so its operation efficiency will directly affect the railway transportation efficiency and economic benefits. In order to efficiently and economically complete train marshalling work and improve market competitiveness of railway transportation, it is necessary to optimize traffic flow distribution at marshalling station. In this paper, the Penalty Coefficient is introduced to measure the cost of train arrival and departure continuation. The distribution problem is transformed into the transportation problem of operational research. Considering the uncertainty and complexity of the operation at the marshalling station, taking the minimum total cost of the train continuation as the objective function, the optimization model of the marshalling station assignment is established, and the algorithm is designed to solve it. In this way, the optimized flow distribution plan is obtained finally, and the effectiveness of the optimization model and algorithm for traffic flow distribution at marshalling station is verified, which can improve and optimize the operation efficiency of the marshalling station.