High-Speed Railway PFV Prediction Model Research Under Regional Economic Conditions

2012 ◽  
Vol 569 ◽  
pp. 246-250 ◽  
Author(s):  
Xue Dong Du ◽  
Na Ren
Keyword(s):  
Prediction Model ◽  
High Speed ◽  
Economic Conditions ◽  
High Speed Railway ◽  
Regional Economic ◽  
Railway Stations ◽  
Passenger Flow ◽  
Model Research ◽  
Railway Passenger ◽  
Railway Operation

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.

Research of High-Speed Railway Running Economic Benefit Based on Gray Model

2012 ◽  
Vol 253-255 ◽  
pp. 1273-1277
Author(s):  
Xue Dong Du ◽  
Na Ren
Keyword(s):  
Data Analysis ◽  
Prediction Model ◽  
Economic Benefit ◽  
High Speed ◽  
Accurate Prediction ◽  
Gray Model ◽  
Practical Application ◽  
High Speed Railway ◽  
Railway Stations ◽  
Train Operation

The research of high-speed railway running economic benefit is important to timely know well the train operation state for the railway administration. A prediction model of high-speed railway running economic benefit is proposed in this article based on Gray model. The Gray model is a good example to make accurate prediction of the development of matters. According to the data analysis of Beijing and Shanghai railway stations, we can know that the result of prediction model is accurate, so the prediction based on Gray model is scientific and reasonable in the practical application.

Short-Time Fluctuation Characteristic and Combined Forecasting of High-Speed Railway Passenger Flow Based on EEMD

2013 ◽  
Vol 409-410 ◽  
pp. 1071-1074
Author(s):  
Xiu Shan Jiang ◽  
Rui Feng Zhang ◽  
Liang Pan
Keyword(s):  
Support Vector Machine ◽  
Empirical Mode Decomposition ◽  
High Speed ◽  
Ensemble Empirical Mode Decomposition ◽  
Support Vector ◽  
High Speed Railway ◽  
Passenger Flow ◽  
Mode Decomposition ◽  
Railway Passenger ◽  
Short Term Forecasting

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.

Survey on High-Speed Railway Train Plan Design Issues

2014 ◽  
Vol 505-506 ◽  
pp. 489-492 ◽  
Author(s):  
Peng Fei Zhou ◽  
Bao Ming Han ◽  
Qi Zhang
Keyword(s):  
High Speed ◽  
High Speed Railway ◽  
Transportation Services ◽  
Passenger Train ◽  
Train Operation ◽  
Railway Passenger ◽  
Railway Operation ◽  
Important Basis ◽  
Train Plan

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.

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
Keyword(s):  
High Speed ◽  
Passenger Transport ◽  
High Speed Rail ◽  
Plan Evaluation ◽  
High Speed Railway ◽  
Passenger Flow ◽  
Railway Passenger Transport ◽  
Train Operation ◽  
Railway Passenger

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.

The Changing of Passenger Flow Volume and Distribution of Sharing when High Speed Railway Speed Reducing

2015 ◽  
Vol 744-746 ◽  
pp. 2180-2184
Author(s):  
Ying Wang ◽  
Bao Ming Han ◽  
Bin Zheng
Keyword(s):  
Public Transport ◽  
Logit Model ◽  
High Speed ◽  
Influence Factors ◽  
High Speed Railway ◽  
Public Transport System ◽  
Passenger Flow ◽  
Transportation Corridor ◽  
Before And After ◽  
Railway Passenger

Reduction of high speed railway speed has an influence on not only high speed railway passenger flow but also passenger flow of the public transport system within the scope of relevant transportation corridor. Calculate method of percentage of passenger transport with a variety of public transport mode using Logit model is presented. And analysis of Wuhan Guangzhou high speed railway passenger flow changes before and after reducing speed is introduced. Modify Logit model making it can be applied to the passenger flow partaking rates to meet the changing trend of passenger flow. Bring in new ideas of using Logit to calculate the distribution rate of passenger flow and provide reliable and effective solutions. To provide reference for a more scientific way of express passenger flow partaking rates for development of passenger flow law and analyzing of China's current influence factors.

scholarly journals An Affinity Propagation-Based Clustering Method for the Temporal Dynamics Management of High-Speed Railway Passenger Demand

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Wenxian Wang ◽  
Tie Shi ◽  
Yongxiang Zhang ◽  
Qian Zhu
Keyword(s):  
High Speed ◽  
Temporal Dynamics ◽  
Operation Time ◽  
Affinity Propagation ◽  
High Speed Railway ◽  
Railway Line ◽  
Passenger Flow ◽  
Passenger Demand ◽  
Train Operation ◽  
Railway Passenger

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.

An information integration approach for waiting room management in high speed railway stations

2017 ◽  
Vol 45 (1) ◽  
pp. 45-54 ◽  
Author(s):  
Ding-you Lei ◽  
Feng Niu ◽  
Ying-gui Zhang
Keyword(s):  
Information Exchange ◽  
Management System ◽  
High Speed ◽  
Waiting Room ◽  
Railway Station ◽  
High Speed Railway ◽  
Railway Stations ◽  
Content Type ◽  
Passenger Flow

Purpose This paper aims to propose a systematic approach to facilitate passenger flow in high speed rail (HSR) stations. A case study is conducted to validate the approach. Design/methodology/approach This paper argues that HSR station management consists of train management, station capacity management, waiting room management and passenger flow management, and that two-way and dynamic information exchange exists among the components. Accordingly, the proposed approach integrates the components in HSR station management based on information exchange and heuristic algorithms. A HSR station in China with four regular waiting rooms, one mother-and-infant waiting room and one VIP waiting room located on two floors are chosen for a case study. An arrangement plan for waiting zones and waiting rooms is generated by following the proposed approach. Findings The result of the case study indicates that the proposed approach is capable of arranging waiting zones and waiting rooms quickly and effectively to maximize utilization of waiting room capacity and to minimize passenger walking distance from waiting rooms to platforms. Research limitations/implications The management problem of railway station waiting room also relates to some other factors such as platforms, tracks adjustment and delay of the trains. As an emerging technology, the Internet of Things (IoT) is expected to offer promising solutions to transform the operation and role of many existing industrial systems such as transportation systems including railway systems. The future study of the authors will focus on IoT intelligent railway management system. Practical implications The result indicates that the proposed method is an effective solution to the management of railway station waiting room, which can be applied to railway station management system. Social implications China Railway System provides service to billions of passengers. This research has significant social-economic impacts. Originality/value This paper fulfills an information integrated approach for improving waiting room management in high speed railway stations and a case study testing the approach.

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