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

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.

2014 ◽  
Vol 505-506 ◽  
pp. 471-476
Author(s):  
Qing Jie Zheng ◽  
Bao Ming Han ◽  
Hua Li

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.


2019 ◽  
Vol 12 (4) ◽  
pp. 339-349
Author(s):  
Junguo Wang ◽  
Daoping Gong ◽  
Rui Sun ◽  
Yongxiang Zhao

Background: With the rapid development of the high-speed railway, the dynamic performance such as running stability and safety of the high-speed train is increasingly important. This paper focuses on the dynamic performance of high-speed Electric Multiple Unit (EMU), especially the dynamic characteristics of the bogie frame and car body. Various patents have been discussed in this article. Objective: To develop the Multi-Body System (MBS) model of EMU, verify whether the dynamic performance meets the actual operation requirements, and provide some useful information for dynamics and structural design of the proposed EMU. Methods: According to the technical characteristics of a typical EMU, a MBS model is established via SIMPACK, and the measured data of China high-speed railway is taken as the excitation of track random irregularity. To test the dynamic performance of the EMU, including the stability and safety, some evaluation indexes such as wheel-axle lateral forces, wheel-axle lateral vertical forces, derailment coefficients and wheel unloading rates are also calculated and analyzed in detail. Results: The MBS model of EMU has better dynamic performance especially curving performance, and some evaluation indexes of the stability and safety have also reached China’s high-speed railway standards. Conclusion: The effectiveness of the proposed MBS model is verified, and the dynamic performance of the MBS model can meet the design requirements of high-speed EMU.


2019 ◽  
Vol 11 (7) ◽  
pp. 2141
Author(s):  
Xueqiao Yu ◽  
Maoxiang Lang ◽  
Wenhui Zhang ◽  
Shiqi Li ◽  
Mingyue Zhang ◽  
...  

The rapid and stable development of China’s economy has driven the increasing demand for express transportation. Based on network operation, China Railway Corporation of High-speed Railway launched high-speed rail products, which have attracted wide attention from all walks of life. With the application of high-speed express trains, the market structure of express transportation in China will change dramatically, from highways as the main mode of transportation to high-speed railway transportation relying on a high-speed railway network, which will effectively reduce the environmental pollution caused by express transportation and further improve the sustainable development of the economy and the logistics industry. At present, the freight Electric Multiple Units (EMU) has been successfully developed and has entered the final test stage. In the last paper, we have introduced the theory and method of the high-speed rail express train operation plan. In addition, a train diagram is an important foundation of railway transportation organization. In order to ensure the sustainable development of high-speed rail express trains after they are put into use, based on the operation plan of high-speed rail express trains, this paper establishes a comprehensive compilation model of a high-speed rail express train diagram, considering train running time, freight flow distribution scheme, and the operation plan of freight multiple units, and an exact solution algorithm based on the Lagrange relaxation algorithm is designed. The computational results are encouraging and demonstrate the effectiveness of the model and solution method.


2019 ◽  
Vol 13 (6) ◽  
pp. 912-921 ◽  
Author(s):  
Longlei Bai ◽  
Lijun Zhou ◽  
Lini Li ◽  
Yuanhu Chen ◽  
Yuxuan Che ◽  
...  

2013 ◽  
Vol 397-400 ◽  
pp. 2647-2650
Author(s):  
Yuan Ke Zhang ◽  
Si Ping Qin

The paper investigates the developing progress of express freight transport on high-speed railway at home and abroad. It is found that there are many successful cases for high-speed express freight transport products in foreign countries, suggesting the feasibility to carry out relevant services in China. Lack of advanced technology and effective operation management, the process of express freight transport on high-speed railway in China is postponed. After freight market demand analysis, the paper emphasizes on the infrastructures and running modes to analyze technical feasibility and on transport costs, efficiency and timeliness to analyze economic feasibility, ending with the conclusion that it is feasible for China to carry out express freight transport on high-speed railway, combined with some construction recommendations.


2013 ◽  
Vol 748 ◽  
pp. 457-462
Author(s):  
Peng Sun ◽  
Tian Yun Shi ◽  
Wei Jiao Zhang

As the numbers and running distance of Chinese high-speed trains increase, many electric multiple units (EMU) gradually enter into overhaul stage, EMU maintenance bases face challenges of transition from practical exploration, regular production to lean production. In accordance of business requirement, built a model of dynamic resource allocation, task splitting, and soft precedence constraints. By the design of nonlinear decline inertia weight factor, a refined particle swarm optimization (PSO), as well as the corresponding parallel transformation scheme from particle to schedule, is presented. Finally, computational analysis is performed to validate the model and algorithm on optimization capabilities, resource utilization and performance.


2013 ◽  
Vol 411-414 ◽  
pp. 2770-2774
Author(s):  
Fang Lin Liu ◽  
De Wei Li ◽  
Xiao Juan Li

On the basis of the demand analysis of high-speed railway transport capacity management decision support system, we build static structure view, dynamic behavior view and model management view basing on the Modeling Language of UML and described the essential factor, events and activities of this system in time and space separately. On the basis of the above, we develop the management decision support system of high-speed railway transport capacity, which provide fundamental basis for the optimal configuration of transportation capacity resource, and then form the high-speed railway calculation evaluation and management system. In the end, we apply the system to the calculation examples of Beijing-Shanghai high speed railway.


2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Wencheng Huang ◽  
Bin Shuai

High-speed railway (HSR) express freight train service sites selection is critical to the development of China’s Third Party Logistics market. In this paper, we formulate an improved entropy-cloud model based approach to solve the HSR express sites selection problem for the first time. The basic data of the indicators, for example, existing railway network conditions, traffic environment, express freight market demand, and policy, will be used as the inputs. We apply improved entropy method to obtain each subindicator’s weight. The cloud model will be used to select and classify each station under evaluation.


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