Train Marshalling Optimization Of Hengyang North Station

The marshalling of the cargo train has always been the key issue in the organization of the railway transport plan.The optimization of the marshalling plan can greatly improve the efficiency of railway freight transport.In view of the comprehensive optimization of the train marshalling plan and the traffic flow path,the experts and scholars Focus on the object of the study.Based on the actual situation of train operation in Hengyang North Station,this paper analyzes the traffic flow in the technical station,and finds that there are two shortcomings in Hengyang North Railway Station: First,The situation has a huge impact on the preparation plan.In the actual operation,the main parameters that affect the optimization of the train marshalling plan,such as traffic flow and vehicle replacement time,are fluctuating.However,these parameters in the existing marshalling plan are fixed,resulting in the marshalling plan and actual disjoint,unable to cope with various types of parameters fluctuation and unexpected situation,is not conducive to adapt to the rapid changes in the modern market economy.Aiming at the problem of traffic path limitation,the paper puts forward a series of techniques to consider the traffic flow restriction,which is based on the assembly and consumption of the train group,the adaptation transit consumption and the driving consumption as the objective function,the traffic route restriction and the technical station adaptability restriction Train Marshalling Model(Model 1).Then,considering the volatility of the two main parameters of the model and the fluctuation of the adaptation time,the train marshalling optimization model(model 2)based on traffic fluctuation and the train group optimization model(model 3)with time fluctuation are constructed.Then,the operation data of Hengyang North Station is collected for nearly one year.Considering the random fluctuation of traffic flow,the adaptation time is processed into the evenly distributed function with the expected daily value and the deviation of 10.The same time will be used to adjust the time The mean value of the deviation is 0.2 for the uniform distribution function.The above data are taken into model 1 and solved by branch and bound method.In the stochastic models 2 and 3,the improved branch and bound method based on stochastic simulation is used to solve the problem.Finally,the optimal solution and optimal grouping of the three models are obtained Program.The optimal solution of the three sets of models is analyzed and compared,and the adaptability and adaptability analysis are carried out.The variance of model 1 adaptability is 0.138 and the variance of model 2 is only 0.038.Model 1 passed the capacity saturation variance of0.164,while Model 3 passed the capacity saturation variance of only 0.154.The results show that the train marshalling optimization model considering the fluctuationof traffic flow can balance the load of the circuit section,and the train optimization model can be used to balance the capacity of the technical station.Finally,optimizing the train pre-reporting mechanism and plan information update mechanism to assist the Hengyang North Station technical station train group planning optimization.