Research On Comprehensive Optimization Of Railway Passenger Station Capacity

The passenger station mainly handles passengers' boarding,transportation,packaging and unloading.With the sharp increase in passenger flow in recent years,the number of passenger trains handled by stations has also increased significantly,which has caused the passenger station to pass the tension.Therefore,comprehensive optimizing the carrying capacity of passenger stations is an urgent problem should to be solved,and it is also the key to improve the ability of the entire railway line.The ability of the passenger station mainly includes the ability of arrival-departure tracks and throat area.Based on the existing research results,this paper mainly studies the following contents:The classification of passenger stations and the specific technical operation procedures are introduced in detail.The influencing factors and occupation principles of the arrival-departure tracks and throat area,the grouping of the throat zone and the optimization of the route are analyzed.The coordinate calculation method and the parallel approach method are used to test the rationality of the throat zone grouping,and the approach is optimized by using the maximum parallel approach optimization method and the maximum probability approach optimization method in the route selection process.It introduces the safe time interval and buffer time to the line,as well as the approach conflict and reconciliation.The study of these theoretical knowledge provides a powerful support for the establishment and solution of the subsequent models of the thesis.Based on the previous theoretical knowledge research,the comprehensive optimization model of the carrying capacity of passenger station is established.The paper takes the uniqueness of the arrival-departure tracks and the occupancy of train,the relationship between the arrival-departure tracks and the train approach,and the minimum safe time to the line.train approach conflicts and so on are constraints,the Multi-objective programming model of the passenger station's carrying ability is established,including the ability of arrival-departure tracks and throat area,while taking into account the shortest distance traveled by the passengers.Based on the existing researches on such problems,the advantages and disadvantages of various intelligent algorithms in solving this problem are compared.The specific ideas and steps of the simulated annealing algorithm in solving the model are studied.Taking Lanzhou Station as an example,the 124 passenger trains from 08:00-20:00 are studied.The model and algorithm of the paper are used to study the trains of Lanzhou Station for a specific time period,and the passenger station is integrated.The nine non-inferior solutions of the optimization model are compared and analyzed.The data of the station carrying capacity and the comprehensive optimized station carrying capacity are analyzed.The rationality and necessity of the model and algorithm are verified.