| A formation station,often referred to as a freight train disassembly factory,is a railroad transportation hub that manages formation and train disassembly activities and features a full shunting operation procedure.The stage plan is the focal point of a grouping station’s primary production task,and it is responsible for projecting and formulating the classification line operation and flow distribution plan.One of the network’s final grouping stations,Kunming East Station has an imbalanced upstream and downstream system,a high intratube flow,few classification lines,and a complex flow distribution.As a result,it has become a bottleneck in the transportation production organization.In this essay,we primarily address the issues with using and distributing classification lines in Kunming East Station’s downstream system,which has few classification lines and is challenging to use,and the issue of using and distributing classification lines,which has a large number of traffic groups and a difficult distribution flow,and providing technical support for the construction of the station through optimization modeling in accordance with its characteristics combined with field case data.(1)The analysis of the Kunming East Station’s classification line operation and flow distribution issues,the upstream and downstream systems’ cargo train grouping plans,flow structures,shunting machine workloads,and the classification line’s effective capacity with on-site data for comparison and analysis,the upstream and downstream systems’ unevenness,the downstream system’s small through-flow,large flow in the tube,hub small operation,high transfer ratio,flow group number,slowmoving traffic,and other Operating characteristics,the downstream system is more difficult to use compared to the upstream system classification line,the task of flow distribution is heavier.(2)According to the difficulties of classification line operation and flow distribution in the downstream system of Kunming East Station,the optimization model of classification line operation and flow distribution in the formation station is established,and the optimization objectives are to minimize the total vehicle dwell time in the station,the number of finishing lines used by departing trains and the number of occupied classification lines,and to set the sequence of train unbundling,the "real" traffic flow,the capacity of classification lines,and the traffic flow.The objective is to minimize the sum of the total dwell time at the station,the number of departure trains using the sorting line,and the number of occupied sorting lines.The model is a mathematical 0-1 mixed integer multi-objective dynamic programming problem with multiple decision variables,and a genetic algorithm is designed to solve it.(3)Compared with the actual solution on-site,the optimized solution obtained by solving the optimization model consumes fewer shunting hooks for disassembling arriving trains,occupies fewer classification lines for departing trains,uses fewer temporary storage lines,occupies fewer classification lines for arriving train crews,has more vehicles(crews)for connecting vehicles,occupies less total time on classification lines,and has high formation quality,which can greatly improve the use efficiency of formation yards and the production efficiency of formation stations,verifying The feasibility and practicality of the optimization model constructed and the optimization algorithm designed in this paper are verified. |