Nonlinear reliability of urban rail transit network connectivity based on computer aided design and topology

Rail transit network is the backbone of the transport network. In this article, a topology nonlinear model based on L-space and P-space is proposed to understand the unreliability of urban rail transit network in computer-aided design. The proposed model requires different characteristics of rail tr...

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Main Author: Li Ya
Format: Article
Language:English
Published: De Gruyter 2022-09-01
Series:Nonlinear Engineering
Subjects:
Online Access:https://doi.org/10.1515/nleng-2022-0227
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author Li Ya
author_facet Li Ya
author_sort Li Ya
collection DOAJ
description Rail transit network is the backbone of the transport network. In this article, a topology nonlinear model based on L-space and P-space is proposed to understand the unreliability of urban rail transit network in computer-aided design. The proposed model requires different characteristics of rail transit according to L-space and P-space. The experiment result shows that the degree value of the network is relatively small in the L-space. In the L-space, more than 80% of the nodes have degree 2, and the degree distribution is very concentrated. In P-space, the overall degree value of the network is higher, and the distribution area is wider. Experiment results have proved that the aggregation coefficient of more than 85% of the nodes in the Shanghai rail transit network is 1, which provides a basis for the comparison of different trains and the research on the changes in future urban trains.
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spelling doaj.art-30df5dab869642b98627bb24a5869d662022-12-22T04:28:54ZengDe GruyterNonlinear Engineering2192-80292022-09-0111146347010.1515/nleng-2022-0227Nonlinear reliability of urban rail transit network connectivity based on computer aided design and topologyLi Ya0School of Transportation Management, Zheng Zhou Railway Vocational and Technical College, Zhengzhou, Henan, 451460, ChinaRail transit network is the backbone of the transport network. In this article, a topology nonlinear model based on L-space and P-space is proposed to understand the unreliability of urban rail transit network in computer-aided design. The proposed model requires different characteristics of rail transit according to L-space and P-space. The experiment result shows that the degree value of the network is relatively small in the L-space. In the L-space, more than 80% of the nodes have degree 2, and the degree distribution is very concentrated. In P-space, the overall degree value of the network is higher, and the distribution area is wider. Experiment results have proved that the aggregation coefficient of more than 85% of the nodes in the Shanghai rail transit network is 1, which provides a basis for the comparison of different trains and the research on the changes in future urban trains.https://doi.org/10.1515/nleng-2022-0227rail transit networktopologyreliabilitynonlinearityurban rail
spellingShingle Li Ya
Nonlinear reliability of urban rail transit network connectivity based on computer aided design and topology
Nonlinear Engineering
rail transit network
topology
reliability
nonlinearity
urban rail
title Nonlinear reliability of urban rail transit network connectivity based on computer aided design and topology
title_full Nonlinear reliability of urban rail transit network connectivity based on computer aided design and topology
title_fullStr Nonlinear reliability of urban rail transit network connectivity based on computer aided design and topology
title_full_unstemmed Nonlinear reliability of urban rail transit network connectivity based on computer aided design and topology
title_short Nonlinear reliability of urban rail transit network connectivity based on computer aided design and topology
title_sort nonlinear reliability of urban rail transit network connectivity based on computer aided design and topology
topic rail transit network
topology
reliability
nonlinearity
urban rail
url https://doi.org/10.1515/nleng-2022-0227
work_keys_str_mv AT liya nonlinearreliabilityofurbanrailtransitnetworkconnectivitybasedoncomputeraideddesignandtopology