A Fault Tolerance Optimization Model of the China Railway Geographic Network Topological Structure

With degree distribution characteristics of the China Railway geographic network, an optimization model from macro to micro is established on the relative entropy. Firstly, Poisson distribution of the China Railway geographic network is verified and fitted. Secondly, the “Twelfth Five-Year Plan” of...

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Main Authors: Fenling Feng, Ziwen Tang, Lei Wang
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2015/871074
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author Fenling Feng
Ziwen Tang
Lei Wang
author_facet Fenling Feng
Ziwen Tang
Lei Wang
author_sort Fenling Feng
collection DOAJ
description With degree distribution characteristics of the China Railway geographic network, an optimization model from macro to micro is established on the relative entropy. Firstly, Poisson distribution of the China Railway geographic network is verified and fitted. Secondly, the “Twelfth Five-Year Plan” of the railway geographic network is chosen as an example on which a macro model is built. Finally, the “Twelfth Five-Year Plan” of Guangzhou Railway Group’s geographic network is chosen as the other example on which a micro model is built and our optimization scheme is proposed. Results reveal that, for improving the railway network fault tolerance, from the macroscopic aspect the “Twelfth Five-Year Plan” railway network should strengthen the railway agglomeration degree; then the microscopic optimization model is able to improve the fault tolerance effectively.
format Article
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institution Kabale University
issn 1026-0226
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language English
publishDate 2015-01-01
publisher Wiley
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series Discrete Dynamics in Nature and Society
spelling doaj-art-b255b243b8fc4f1ca91aba7332469f1c2025-02-03T05:46:30ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2015-01-01201510.1155/2015/871074871074A Fault Tolerance Optimization Model of the China Railway Geographic Network Topological StructureFenling Feng0Ziwen Tang1Lei Wang2School of Traffic and Transportation Engineering, Central South University, Changsha 410075, ChinaSchool of Traffic and Transportation Engineering, Central South University, Changsha 410075, ChinaSchool of Traffic and Transportation Engineering, Central South University, Changsha 410075, ChinaWith degree distribution characteristics of the China Railway geographic network, an optimization model from macro to micro is established on the relative entropy. Firstly, Poisson distribution of the China Railway geographic network is verified and fitted. Secondly, the “Twelfth Five-Year Plan” of the railway geographic network is chosen as an example on which a macro model is built. Finally, the “Twelfth Five-Year Plan” of Guangzhou Railway Group’s geographic network is chosen as the other example on which a micro model is built and our optimization scheme is proposed. Results reveal that, for improving the railway network fault tolerance, from the macroscopic aspect the “Twelfth Five-Year Plan” railway network should strengthen the railway agglomeration degree; then the microscopic optimization model is able to improve the fault tolerance effectively.http://dx.doi.org/10.1155/2015/871074
spellingShingle Fenling Feng
Ziwen Tang
Lei Wang
A Fault Tolerance Optimization Model of the China Railway Geographic Network Topological Structure
Discrete Dynamics in Nature and Society
title A Fault Tolerance Optimization Model of the China Railway Geographic Network Topological Structure
title_full A Fault Tolerance Optimization Model of the China Railway Geographic Network Topological Structure
title_fullStr A Fault Tolerance Optimization Model of the China Railway Geographic Network Topological Structure
title_full_unstemmed A Fault Tolerance Optimization Model of the China Railway Geographic Network Topological Structure
title_short A Fault Tolerance Optimization Model of the China Railway Geographic Network Topological Structure
title_sort fault tolerance optimization model of the china railway geographic network topological structure
url http://dx.doi.org/10.1155/2015/871074
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AT fenlingfeng faulttoleranceoptimizationmodelofthechinarailwaygeographicnetworktopologicalstructure
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