Evaluation And Optimization Technology Of High-speed Railway Line Planning

With the current prosperity and development of various modes of transportation and the higher requirements of passengers on transportation services,railway enterprises must improve their market competitiveness by providing high-quality transportation services and improving their own income levels.As the core of transportation organization,the quality of the railway line planning is closely related to the interests of passengers and transportation companies.How to judge the quality of the line planning and how to optimize the line plan based on the evaluation results are the most urgent problems to be solved at present.However,different high-speed railway lines have different conditions and different passenger flows,so the evaluation criteria and optimization goals are also different.Based on this,this thesis proposes a high-speed railway line planning evaluation with high system and strong applicability under the condition of line classification.The specific research work and main achievements of the thesis are as follows:First,based on the discussion of the current high-speed railway in China,the thesis discusses the classification of high-speed railway lines,and puts forward the necessity of fine classification of high-speed railway based on function positioning to study the operation scheme.The characteristics of the high-speed railway are decomposed,and the existing highspeed railway lines are merged using the global K-means clustering method to obtain three types of high-speed railway line sets.By analyzing the correlation between the type of highspeed railway line and the line planning,the compilation standard suitable for the line planning of each type of line is obtained.Second,from the perspective of passenger demand and enterprise benefit,the construction of the evaluation index system of the line planning is completed from four aspects:degree of capacity adaptability,degree of structure matching,degree of Service satisfaction,degree of enterprise benefit realization.Considering that the relevant indicators of the evaluation system may have strong correlation and lead to redundant indicators,the evaluation indicators were screened and optimized using the Pearson correlation coefficient method.Third,based on the influence of different types of line functional localization on the railway line planning,the AHP-entropy method is used to determine the index weights of different types of lines planning.Combined with the matter-element method theory and the dynamic evaluation theory,and considering the difference of passenger flow in different time periods,this thesis proposed a dynamic matter-element evaluation model for railway line planning based on time series analysis.By comprehensively scoring the line planning,the evaluation results of the high-speed railway line planning suitable for the actual situation can be obtained.Finally,guided by the evaluation results,describing the interest game relationship between railway enterprises and passengers through a bi-level programming model to achieve the optimization and adjustment of the line planning.The objective function of the upper model is set to maximize the train operating income and minimize the cost of train adjustment,and the lower model considers the highest satisfaction degree of passenger demand under the current rail line classification.The optimal adjustment of the line planning can be realized by adjusting the train running section,frequency,time period,stop plan and marshalling.Combined with the characteristics of the model,a simulated annealing algorithm with good robustness that can find the optimal solution in a large search space is used to solve the problem.