scholarly journals Determining traffic potential as an important part of sustainable railway passenger transport

Author(s):  
Milan Dedík ◽  
Martin Kendra ◽  
Tomáš Čechovič ◽  
Martin Vojtek
2018 ◽  
Vol 46 (3) ◽  
pp. 135-141 ◽  
Author(s):  
Dongye Sun ◽  
Yuanhua Jia ◽  
Yang Yang ◽  
Huanan Li ◽  
Liping Zhao

This study presents a fuzzy Bayesian network (FBN) method to analyze the influence on the safety risk of railway passenger transport applying different risk control strategies. Based on the fuzzy probability of the basic event determined by the expert group decision method, the proposed FBN method can reasonably predict the probability of railway passenger safety risk. It is also proven that control the risk in the safety management of railway passenger transport will be the most effective way to reduce the risk probability of the railway passenger transport safety.


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.


2006 ◽  
Vol 55 (8) ◽  
pp. 3906
Author(s):  
Zhao Wei ◽  
He Hong-Sheng ◽  
Lin Zhong-Cai ◽  
Yang Kong-Qing

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