Optimization for railway freight transport network based on BP Neural Network

2013 ◽  
Author(s):  
Sun Yan ◽  
Lang Maoxiang
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Freight Transport ◽  
Transport Network ◽  
Railway Freight ◽  
Railway Freight Transport

BP Neural Network Based Optimization for China Railway Freight Transport Network

2014 ◽  
Vol 1037 ◽  
pp. 404-410 ◽  
Author(s):  
Yan Sun ◽  
Mao Xiang Lang ◽  
Dan Zhu Wang
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Adaptive Learning ◽  
Bp Neural Network ◽  
Freight Transport ◽  
Transport Network ◽  
Railway Freight ◽  
Bp Neural Network Model ◽  
Railway Freight Transport

In order to optimize the railway freight transport network, integrate the limited transport resources and overcome the current problems existing in the traditional transport organization, in this study, we propose a three-layer railway freight transport network system, analyze its hierarchical structure and describe the respective function orientation of the railway freight stations in different layers. Then we design a BP neural network model with adaptive learning algorithm and momentum BP algorithm to classify the railway freight stations into three layers. Finally, an empirical case study is presented to test the feasibility of the BP neural network. The simulation result indicates that the BP neural network model can classify the railway freight stations into three layers under relatively high training accuracy.

Railway Freight Turnover Forecast Based on the BP Neural Network

2014 ◽  
Vol 536-537 ◽  
pp. 837-840
Author(s):  
Jiang Sun ◽  
Chong Wei
Keyword(s):  
Neural Network ◽  
Prediction Model ◽  
Network Model ◽  
Neural Network Model ◽  
Bp Neural Network ◽  
Railway Freight ◽  
Bp Neural Network Model ◽  
Trained Network

A BP neural network model was employed to forecast the railway freight turnover. First, this paper analyses the data of railway freight turnover in China from 1998 to 2012, build a three layers BP neural network, then by training and learning, a well-trained network can be used for simulating and forecasting. Finally, predict by the Grey GM(1,1) model and well-trained BP neural network respectively, and compares the errors of two prediction model, the results show that predicting the railway freight turnover by BP neural network has higher precision.

Information Sharing Framework for the Integrated Collaborative Operation in Through Transport of Railway Freight

2012 ◽  
Vol 253-255 ◽  
pp. 1213-1217
Author(s):  
Wei Ya Chen
Keyword(s):  
Information Sharing ◽  
Information Technologies ◽  
Freight Transport ◽  
Information Collection ◽  
Current Information ◽  
Railway Freight ◽  
High Efficient ◽  
Key Factor ◽  
Efficient Information ◽  
Railway Freight Transport

High efficient information sharing is the key factor to realize the integrated collaborative operation in through transport of railway freight. This paper presents a framework of information sharing among the railway enterprises and their customer enterprises. The information sharing demand was categorized into information sharing for demand-supply matching and the integrated collaborative operation. The information sharing content was defined according to the information sharing demand. Base on the current information technologies utilized in China’s railway freight transport, the framework of information sharing was constructed from four aspects: the hierarchy of information sharing, the mode architecture of information sharing, the methods of information collection and the supporting conditions of implementation.

scholarly journals Price Analysis of Railway Freight Transport under Marketing Mechanism

2012 ◽  
Vol 25 ◽  
pp. 2038-2044 ◽  
Author(s):  
Ying Shi ◽  
Xiaoping Fang ◽  
Zhiya Chen
Keyword(s):  
Freight Transport ◽  
Railway Freight ◽  
Price Analysis ◽  
Railway Freight Transport

Prediction Models for Railway Freight Volume Based on Artificial Neural Networks

2014 ◽  
Vol 543-547 ◽  
pp. 2093-2098 ◽  
Author(s):  
Yan Sun ◽  
Mao Xiang Lang ◽  
Dan Zhu Wang ◽  
Lin Yun Liu
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Prediction Accuracy ◽  
Freight Transport ◽  
Generalized Regression Neural Network ◽  
Railway Freight ◽  
Freight Volume ◽  
Artificial Neural ◽  
Generalized Regression

The current China railway freight transport has always been faced with the situation of limited transport resources. Many relative studies have been done to solve the problem of resource shortage. And railway freight volume prediction is the basis of all these studies. With accurate volume prediction, railway freight transport administrations can precisely allocate the transport resources, such as wagons and locomotives. In order to overcome the limitations of traditional prediction methods, in this study, we design four artificial neural network models for prediction, including BP neural network model, linear neural network model, RBF neural network model and generalized regression neural network model. The results of simulation and comparison show that all these models can reach high prediction accuracy and generalized regression neural network has both higher prediction accuracy and better curve fitting capacity compared with other models.

scholarly journals Analysis on the Integration Path of “One Belt And One Road” International Railway Transportation Rules

2021 ◽  
Vol 261 ◽  
pp. 03017
Author(s):  
Ruiqi Guo ◽  
Shuyin Zhang ◽  
Zhuangzhi Zhang ◽  
Kunmin Wang ◽  
Yinghui Cai ◽  
...  
Keyword(s):  
Dispute Settlement ◽  
Freight Transport ◽  
Railway Transport ◽  
Railway Transportation ◽  
Dispute Settlement Mechanism ◽  
Logistics System ◽  
Railway Freight ◽  
The Status ◽  
Settlement Mechanism ◽  
Railway Freight Transport

With the rapid growth of Sino-European international trade and the ongoing development of “One Belt And One Road”, it can be predicted that the status of railway transportation in the international logistics system will be greatly enhanced, which urges us to further study the rules of international railway freight transportation. At present, the pattern of the rules system of international freight transport by railway is the two conventions of the international cargo association and the international cargo contract. In addition, the existing rules system of freight transport by railway in China also has some problems such as being too administrative, which needs to be reformed urgently. By comparing the contents of the two conventions of international railway freight transport and listing the possible conflicts in the substantive laws of various countries involved in the conventions, this paper designs a set of dispute settlement mechanism for “One Belt And One Road” railway transport, and puts forward some suggestions on the integration of the rules of “One Belt And One Road” international railway freight transport.

scholarly journals Comparative analysis of TAC on railway freight corridors between North Adriatic ports and Žilina

2021 ◽  
Author(s):  
Denis Šipuš ◽  
Martina Ribarić ◽  
Borna Abramović ◽  
Sanjin Milinković
Keyword(s):  
Comparative Analysis ◽  
Far East ◽  
Freight Transport ◽  
The North ◽  
Railway Freight ◽  
The Far East ◽  
Access Charges ◽  
The City ◽  
Railway Freight Transport

In recent years, European ports have, due to the increasing traffic between the Far East and Europe, become increasingly important. Large volumes of freight come to ships and it is important to have a link to the mainland via railway, which should have a functional overall system. This research compares three variants of possible routes for railway freight transport from the North Adriatic ports of Rijeka, Koper, and Trieste to Žilina, in the north of Slovakia. The methodology for calculating the minimum package of train access charges for the countries covered by these routes is presented. A comparative analysis of train access charges (TAC) for the minimum access package for the corridors between North Adriatic ports and City of Žilina has also been conducted. The result entailed in this research is the most favourable railway route for freight transport from the North Adriatic ports to the City of Žilina.

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