2011Zhongguo tiedao kexueRequires access

Research on Intelligent Pre-Assignment of Ticket Allotment for Railway Passenger Train

Xinghua Shan, Zhou Liangjin, Lu Xiaoyan, Junfeng Zhang, Lingyan Wang

Open publisher page 6 citations

Abstract

According to the characteristics of railway passenger flow and season as well as the law of booking in advance,combined with the historical data of passenger flow and expert experience,the time series analysis method was adopted to establish the passenger flow prediction model to predict the passenger flow for passenger train ODs.Based on the predicted OD passenger flow,with the maximization in passenger load factor of the whole journey for passenger train,the income and the whole benefit as target,the core principles for pre-assigning ticket allotment was put forward.The core principles were long distance first and then short distance,seat first and then no seat,pre-assignment first according to number and then proportion,etc.The algorithm for pre-assigning ticket allotment was given.On this basis,the intelligent pre-assignment system for railway passenger train ticket allotment was constructed.The results of practical application show that the system has realized the dynamic allocation of railway passenger train ticket allotment,improved the enthusiasm for organizing passenger flow at stations on the way and increased the passenger load factor of passenger train.

About this research paper

What this paper is about

According to the characteristics of railway passenger flow and season as well as the law of booking in advance,combined with the historical data of passenger flow and expert experience,the time series analysis method was adopted to establish the passenger flow prediction model to predict the passenger flow for passenger train ODs.Based on the predicted OD passenger flow,with the maximization in passenger load factor of the whole journey for passenger train,the income and the whole benefit as target,the core principles for pre-assigning ticket allotment was put forward.The core principles were long distance first and then short distance,seat first and then no seat,pre-assignment first according to number and then proportion,etc.The algorithm for pre-assigning ticket allotment was given.On this basis,the intelligent pre-assignment system for railway passenger train ticket allotment was constructed.The results of practical application show that the system has realized the dynamic allocation of railway passenger train ticket allotment,improved the enthusiasm for organizing passenger flow at stations on the way and increased the passenger load factor of passenger train.

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Available abstract

According to the characteristics of railway passenger flow and season as well as the law of booking in advance,combined with the historical data of passenger flow and expert experience,the time series analysis method was adopted to establish the passenger flow prediction model to predict the passenger flow for passenger train ODs.Based on the predicted OD passenger flow,with the maximization in passenger load factor of the whole journey for passenger train,the income and the whole benefit as target,the core principles for pre-assigning ticket allotment was put forward.The core principles were long distance first and then short distance,seat first and then no seat,pre-assignment first according to number and then proportion,etc.The algorithm for pre-assigning ticket allotment was given.On this basis,the intelligent pre-assignment system for railway passenger train ticket allotment was constructed.The results of practical application show that the system has realized the dynamic allocation of railway passenger train ticket allotment,improved the enthusiasm for organizing passenger flow at stations on the way and increased the passenger load factor of passenger train.

Key concepts: Allotment, Ticket, Maximization, Engineering, Transport engineering, Flow (mathematics), Operations research, Computer science

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