High-Speed Railway Passenger Node Classification Method and Train Stops Scheme

2014 ◽  
Vol 505-506 ◽  
pp. 632-636 ◽  
Author(s):  
Peng Fei Zhou ◽  
Bao Ming Han ◽  
Qi Zhang

The development of high-speed railway has been very fast, while there are still existing many problems to be further studied and discussed, especially the design of high-speed railway Train stops program. The research of classification of high-speed passenger railway nodes has a vital significance for forecast of high-speed railway passenger flow, passenger train operation plan, evaluation and optimization and so on, especially for highspeed railway stopping schedule .This paper analyzes the significance and methods of high-speed passenger railway nodes classification, and designs high-speed rail train line stops program based on the classification. Finally, analyzing the case on the basis of Beijing-Guangzhou high-speed railway, a train stops program will be made bases on the classification of Beijing-Guangzhou high-speed railway passenger transport nodes to verify the feasibility of this study.

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Wenxian Wang ◽  
Tie Shi ◽  
Yongxiang Zhang ◽  
Qian Zhu

The number of passengers in a high-speed railway line normally varies significantly by the time periods, such as the peak and nonpeak hours. A reasonable classification of railway operation time intervals is essential for an adaptive adjustment of the train schedule. However, the passenger flow intervals are usually classified manually based on experience, which is subjective and inaccurate. Based on the time samples of actual passenger demand data for 365 days, this paper proposes an affinity propagation (AP) algorithm to automatically classify the passenger flow intervals. Specifically, the AP algorithm first merges time samples into different categories together with the passenger transmit volume of the stations, which are used as descriptive variables. Furthermore, clustering validity indexes, such as Calinski–Harabasz, Hartigan, and In-Group Proportion, are employed to examine the clustering results, and reasonable passenger flow intervals are finally obtained. A case study of the Zhengzhou-Xi’an high-speed railway indicates that our proposed AP algorithm has the best performance. Moreover, based on the passenger flow interval classification results obtained using the AP algorithm, the train operation plan fits the passenger demand better. As a result, the indexes of passenger demand satisfaction rate, average train occupancy rate, and passenger flow rate are improved by 7.6%, 16.7%, and 14.1%, respectively, in 2014. In 2015, the above three indicators are improved by 5.7%, 18.4%, and 14.4%, respectively.


Author(s):  
Viktoria Ovchynnikova ◽  
Denys Popov

The article proves the need to develop high-speed railway transport, due to the fact that the last decade of travel on high-speed trains around the world is often faster than on airplanes, due to the lack of lengthy check-in, baggage screening, airport transfers and others. This type of transportation is becoming a major factor in the growing trend when passengers choose a high-speed train instead of an airplane. A detailed analysis of high-speed railway transport activities and their competitive advantages in the domestic and world transport markets are outlined. It is proved that in the conditions of cardinal transformation of the external environment caused by globalization, digitalization and intellectualization of world economy the guarantee of efficiency of strategy of development of any business entity is establishment of exogenous factors. The necessity of using methods and models of strategic management in the process of development of high-speed railway transportation in Ukraine is substantiated, as well as the necessity of determining the corresponding exogenous factors. The study identified the following key factors: intensification of international traffic, development of subversive technologies for trains and new transport systems, introduction of multimodal high-speed railway passenger transport technologies, development of multimodal transport infrastructure for high-speed railway passenger transport, development of private passenger transport, partnerships in the use of various forms of state support, digitalization of business processes of high-speed railway passenger transportation, development of intelligent transport systems for high-speed railway passenger transportation, improving customer service of high-speed railway passenger transportation, increasing reliability and safety of rail passenger-passenger transportation cross-border cooperation during the development of high high-speed railway passenger traffic. This will create a basis for determining the impact of macroeconomic conditions on the development of high-speed passenger railway transport and establish the patterns of their economic growth.


Author(s):  
L. Nie ◽  
D. B. Fei ◽  
S. D. Zhou ◽  
H. L. Fu ◽  
L. Tong

The Beijing-Shanghai High speed railway line (Hereinafter referred to as “Jing-Hu HSL”) is one of the most important railway lines in the Chinese rapid passenger transportation network and will be put into operation at the end of 2011. Train line planning directly reflects the quality and competition ability of train services. The characteristics of operational conditions and passenger flow of this corridor HSL bring about a few new issues on train line planning like night train operation, train OD sets, cyclic operation, and train stop schedule. For the first issue, a large amount of long distance travel demand put forward the demand for night services, which causes great conflict with the time-window for maintenance work. The confliction can be solved by harmoniously utilizing the parallel lines. For the second one, in view of the differences of technical and economic factors between HSL and conventional railways, high frequency and medium-long distance train will dominate HSL’s train service plan rather than low frequency and long distance trains on conventional railways. Thus, part of long-distance passenger flow has to transfer at some stations. Considering the whole possible ODs over Jing-Hu HSL and the transfer condition of related stations, the optimal OD sets and corresponding transfer plan is suggested. High frequency makes HSL possible to operate trains cyclically to improve service quality. However, with too many train ODs and some special trains, e.g. night train, an incomplete cyclic train operation mode is more practical. The ODs which can provide cyclic service for Jing-Hu HSL need to be identified. For the last issue, although non-stop long-distance train is a very popular kind of service in China, it should be reconsidered for Jing-Hu HSL line because of massive intercity travel demand and regular stops required. Each of the above issues is very complex. What is more, they have close relationship between each other. Due to limited space, the methods used to solve these issues are given in conceptual way rather than detailed description of mathematical model. The research paves the way for future integration study to design an efficient, economic, convenient, and regular train service plan for Jing-Hu HSL.


2013 ◽  
Vol 409-410 ◽  
pp. 1071-1074
Author(s):  
Xiu Shan Jiang ◽  
Rui Feng Zhang ◽  
Liang Pan

Take Wuhan-Guangzhou high-speed railway for example. By adopting the empirical mode decomposition (EMD) attempt to analyze mode from the perspective of volatility of high speed railway passenger flow fluctuation signal. Constructed the ensemble empirical mode decomposition-gray support vector machine (EEMD-GSVM) short-term forecasting model which fuse the gray generation and support vector machine with the ensemble empirical mode decomposition (EEMD). Finally, by the accuracy of predicted results, explains the EEMD-GSVM model has the better adaptability.


2014 ◽  
Vol 505-506 ◽  
pp. 489-492 ◽  
Author(s):  
Peng Fei Zhou ◽  
Bao Ming Han ◽  
Qi Zhang

High-speed railway passenger train operation plan is an important basis to ensure the quality of transportation services. With construction and development of the country's high-speed railway, design and evaluation of railway passenger train plan theory need to be improved and perfected. On the basis of reading and studying a large amount of the references, this paper summarizes the domestic and overseas high-speed running railway operation modes, the high speed railway train operation programs design and other aspects. Besides, according to the related problems and shortcomings, this paper illustrates the meanings and necessities of analyzing the high-speed railway passenger train program.


2012 ◽  
Vol 569 ◽  
pp. 246-250 ◽  
Author(s):  
Xue Dong Du ◽  
Na Ren

Under the regional economic conditions, a passenger flow prediction model is proposed in the paper. It can predict high-speed railway passenger flow volume under the conditions of multi-mode, and guide the reasonable operation of high-speed railway effectively. According to the data analysis of Beijing and Tianjin railway stations, we can know that the reasonable ticket price plays an important role in high-speed railway operation benefit under regional economic conditions.


2014 ◽  
Vol 919-921 ◽  
pp. 1085-1090
Author(s):  
Yuan Huang ◽  
He Song ◽  
Chun Yan Jia

With the rapid development of our national economy, the fast process of city, regional passenger demand is increasing rapidly, high-speed railway emerging as the times requiring. High-speed railway has many advantages in essence and also some disadvantages. How to use its advantages, how to avoid their disadvantages, is important for the advantageous to improve the interests of the company on high speed railway transport department and railway sector, as well as the social development. Through the way of questionnaire survey, statistics and analyzes the main factors affecting the High-speed Rail passenger flow, provides more active mode of operation for the High-speed Rail department. This paper raised the urgent and realistic basis to improve the service level.


Sign in / Sign up

Export Citation Format

Share Document