Passenger Flow Characteristics Analysis And Train Operating Organization Optimization For Hainan East High-speed Railway

Abstract:With the rapid development of China’s economy, the number of high-speed railways in operation and the number of total passenger delivered by high-speed railways are increasing. How to optimize train operation organization to meet the travel needs of passengers is the important problem that high-speed railways operators need to face. Therefore, this thesis analyzes the passenger flow characteristics by tabular analysis and graphical analysis, which is based on passenger ticket data of Hainan east high-speed railway. And then the thesis offers train operating organization proposals which are easily to be used by organization operators.This thesis first reviews the situation of Hainan Railway. And then we analyze the passenger flow distribution characteristics of Hainan east high-speed railway from the temporal and the spatial angles in order to make corresponding recommendations,which is based on railway ticket data. Nextly, taking the time distribution rule of station passenger flow as research object, we analyze the matching degree between the passenger flow characteristics of the railway stations and the current passenger train operating organization. And then we propose the methods of adjusting and optimizing the operation organization based on the passenger flow characteristics of the railway stations.First, this thesis imitates daily train operation situation by processing the ticket data, and then analyzes he current train operating plan of Hainan east high-speed railway from the performance of passenger load factor. For certain irrationality of the nonstop train, it is recommended to be changed into the train which only stops at the chief station. According to the characteristics of passenger flow and the principle of balanced transportation, we further propose the optimized operation scheme of how nonstop train to change the stop schedule plan. Also the optimized operation scheme has been tested by using the passenger load factor. From the verification results, the above method has a better optimization results.