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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Format: | Article |
Language: | English |
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De Gruyter
2022-09-01
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Series: | Nonlinear Engineering |
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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. |
first_indexed | 2024-04-11T10:50:47Z |
format | Article |
id | doaj.art-30df5dab869642b98627bb24a5869d66 |
institution | Directory Open Access Journal |
issn | 2192-8029 |
language | English |
last_indexed | 2024-04-11T10:50:47Z |
publishDate | 2022-09-01 |
publisher | De Gruyter |
record_format | Article |
series | Nonlinear Engineering |
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 |