Optimal Allocation of High-Speed Railway Mobile Equipment Based on the Passenger Flow

2014 ◽  
Vol 505-506 ◽  
pp. 471-476
Author(s):  
Qing Jie Zheng ◽  
Bao Ming Han ◽  
Hua Li
Keyword(s):  
High Speed ◽  
Optimal Allocation ◽  
Allocation Problem ◽  
Load Factor ◽  
Transport Capacity ◽  
High Speed Railway ◽  
Passenger Flow ◽  
The Relationship ◽  
Passenger Load Factor ◽  
Multiple Units

Based on the relationship between passenger flow and demand of electric multiple units (EMU), a new methodology to calculate the EMU demand and allocate the EMU is proposed, which can meet the demand of passenger as well as avoid the waste of transport capacity. An offline allocation plan of EMU is designed by analyzing the fluctuation in passenger flow, passenger average haul distance, passenger load factor and so on. Using the methodology, the EMU allocation problem is solved through program, which is used in Beijing-Shanghai High-speed Railway to obtain the EMU allocation plan.

scholarly journals Prediction and Analysis of Train Passenger Load Factor of High-Speed Railway Based on LightGBM Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Bing Wang ◽  
Peixiu Wu ◽  
Quanchao Chen ◽  
Shaoquan Ni
Keyword(s):  
Prediction Accuracy ◽  
High Speed ◽  
Influence Factor ◽  
Flow Time ◽  
Time Sequence ◽  
Load Factor ◽  
High Speed Railway ◽  
Passenger Flow ◽  
Weather Factor ◽  
Passenger Load Factor

In order to improve the prediction accuracy of train passenger load factor of high-speed railway and meet the demand of different levels of passenger load factor prediction and analysis, the influence factor of the train passenger load factor is analyzed in depth. Taking into account the weather factor, train attribute, and passenger flow time sequence, this paper proposed a forecasting method of train passenger load factor of high-speed railway based on LightGBM algorithm of machine learning. Considering the difference of the influence factor of the passenger load factor of a single train and group trains, a single train passenger load factor prediction model based on the weather factor and passenger flow time sequence and a group of trains’ passenger load factor prediction model based on the weather factor, the train attribute, and passenger flow time sequence factor were constructed, respectively. Taking the train passenger load factor data of high-speed railway in a certain area as an example, the feasibility and effectiveness of the proposed method were verified and compared. It is verified that LightGBM algorithm of machine learning proposed in this paper has higher prediction accuracy than the traditional models, and its scientific and accurate prediction can provide an important reference for the calculation of passenger ticket revenue, operation benefit analysis, etc.

Study on Dynamic Marshalling and Coupled Control of China’s High-Speed Electric Multiple Unit

2014 ◽  
Vol 1046 ◽  
pp. 315-322 ◽  
Author(s):  
Yang Liu ◽  
Chang Xian Li ◽  
Tong Zhang ◽  
Yan Nan Sun
Keyword(s):  
Communication Technology ◽  
High Speed ◽  
Development Trend ◽  
Network Communication ◽  
Market Demand ◽  
Transport Capacity ◽  
High Speed Railway ◽  
Multiple Unit ◽  
Multiple Units ◽  
Operation Cost

In order to reduce operation cost and improve transport capacity of China high-speed railway, train dynamic marshalling often need to be implemented between different kinds of China’s high-speed Electric Multiple Units (EMUs). Based on the operation situation of China high-speed railway, this paper analyzes the market demand and feasibility of dynamic marshalling between different kinds of EMUs, and describes the principle how to realize it by using TCN and UIC network communication technology. Some key problems which need to be solved in the process of realizing coupled control between different kinds of EMUs are pointed out, and corresponding suggestions how to solve these problems are proposed as well. Moreover, according to the technical development trend of the EMU, this paper predicts the possibility of using network communication technology based on real-time Ethernet to realize EMU marshalling and coupled control.

Application Research on Revenue Management in China High Speed Railway

2010 ◽  
Author(s):  
ChunYan Li ◽  
MinShu Ma ◽  
XiaoJun Li
Keyword(s):  
Revenue Management ◽  
High Speed ◽  
Load Factor ◽  
Application Research ◽  
Long Distance ◽  
High Speed Railway ◽  
Passenger Flow ◽  
Sales Process ◽  
Railway Industry

Revenue management in the modern railway industry has been more and more applications. To achieve the desired results, the specific application environment must be considered. The features of China’s railway are discussed firstly, and then a method of seats allotment with objective to maximize the seat load factor is proposed to increase revenue. This method is adapted to multi seat classes on multi segments under the condition of fares relative fixed in China and also meet the need of opening pricing in future. The train T15 is chosen as the object for illustrative analysis, and the result indicate that the method is useful to improve the seat load factor. Additionally it is also effective to make the seats more in line with the trends of passenger flow, and reduce the probability and amount of long-distance tickets randomly cutting into short ones in the sales process.

scholarly journals HIGH SPEED RAILWAY LINES – FUTURE PART OF CZECH RAILWAY NETWORK?

2017 ◽  
Vol 11 ◽  
pp. 74
Author(s):  
Lukáš Týfa ◽  
David Vodák
Keyword(s):  
High Speed ◽  
Railway Network ◽  
High Speed Rail ◽  
High Speed Railway ◽  
Railway Line ◽  
High Speed Trains ◽  
The One ◽  
Infrastructure Maintenance ◽  
The Relationship ◽  
Multiple Units

The paper first describes high speed rail generally and explains the relationship between high speed and conventional railway networks (according to the vehicle types in operation on the network). The core of the paper is comprised of the methodology for choosing the best route for a railway line and its application to the high speed railway connection Praha – Brno. The Algorithm used assumes the existence of more route proposals, which could be different in terms of the operational conception, line routing or types of vehicles used. The optimal variant is the one with the lowest daily cost, which includes infrastructure and vehicle costs; investment and operational costs. The results from applying this model confirmed the assumption, that a dedicated high speed railway line, only for high speed trains, has the same or lower investment costs than a line for both high speed and conventional trains. Furthermore, a dedicated high line also has a lower cost for infrastructure maintenance but a higher cost for buying high speed multiple units.

scholarly journals A Hybrid Temporal-Spatio Forecasting Approach for Passenger Flow Status in Chinese High-Speed Railway Transport Hub

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Zhengyu Xie ◽  
Limin Jia ◽  
Yong Qin ◽  
Li Wang
Keyword(s):  
High Speed ◽  
Rapid Development ◽  
Distribution Center ◽  
Railway Transport ◽  
High Speed Railway ◽  
Safety Hazard ◽  
Passenger Flow ◽  
Potential Safety ◽  
Correlation Degree ◽  
The Status

With the rapid development of high-speed railway in China, high-speed railway transport hub (HRTH) has become the high-density distribution center of passenger flow. In order to accurately detect potential safety hazard hidden in passenger flow, it is necessary to forecast the status of passenger flow. In this paper, we proposed a hybrid temporal-spatio forecasting approach to obtain the passenger flow status in HRTH. The approach combined temporal forecasting based on radial basis function neural network (RBF NN) and spatio forecasting based on spatial correlation degree. Computational experiments on actual passenger flow status from a specific bottleneck position and its correlation points in HRTH showed that the proposed approach is effective to forecast the passenger flow status with high precision.

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