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Modeling duration of overtaking between non-motorized vehicles: A nonparametric survival analysis based approach

The use of non-motorized vehicles in urban city has improved the convenience of short-distance travel and reduced traffic pollution. However, the overtaking behaviour of non-motorized vehicles impacts traffic safety and efficiency significantly. The objective of this study is to model the durations...

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Detalles Bibliográficos
Autores principales: Liu, Yan, Fu, Chuanyun, Wang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7845977/
https://www.ncbi.nlm.nih.gov/pubmed/33513148
http://dx.doi.org/10.1371/journal.pone.0244883
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author Liu, Yan
Fu, Chuanyun
Wang, Wei
author_facet Liu, Yan
Fu, Chuanyun
Wang, Wei
author_sort Liu, Yan
collection PubMed
description The use of non-motorized vehicles in urban city has improved the convenience of short-distance travel and reduced traffic pollution. However, the overtaking behaviour of non-motorized vehicles impacts traffic safety and efficiency significantly. The objective of this study is to model the durations of overtaking behaviour in the non-motorized vehicle exclusive lane. A total of 3010 overtaking events of non-motorized vehicles were extracted from two locations in Chengdu, China. The nonparametric survival analysis was conducted to model the overtaking duration of non-motorized vehicles. The categorical variables that significantly influence the overtaking duration were examined by the Log-rank test. The results show that the overtaking durations of female riders is longer than that of male riders. It takes longer for electrical bikes to complete overtaking than conventional bikes. When the non-motorized vehicle is under the load state (i.e. passengers or goods on the non-motorized vehicle), the overtaking behaviour takes more time than the un-load state. Moreover, it takes less time to overtake the non-motorized vehicle with load than to overtake the one without load. When there is a wrong-way driving phenomenon or under higher traffic volume, the duration is longer compared to the normal traffic and lower traffic volume conditions. The findings of this study attempt to provide a more profound understanding of non-motorized vehicles overtaking behaviour under different traffic conditions and give insights to the safety research of non-motorized vehicles.
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spelling pubmed-78459772021-02-04 Modeling duration of overtaking between non-motorized vehicles: A nonparametric survival analysis based approach Liu, Yan Fu, Chuanyun Wang, Wei PLoS One Research Article The use of non-motorized vehicles in urban city has improved the convenience of short-distance travel and reduced traffic pollution. However, the overtaking behaviour of non-motorized vehicles impacts traffic safety and efficiency significantly. The objective of this study is to model the durations of overtaking behaviour in the non-motorized vehicle exclusive lane. A total of 3010 overtaking events of non-motorized vehicles were extracted from two locations in Chengdu, China. The nonparametric survival analysis was conducted to model the overtaking duration of non-motorized vehicles. The categorical variables that significantly influence the overtaking duration were examined by the Log-rank test. The results show that the overtaking durations of female riders is longer than that of male riders. It takes longer for electrical bikes to complete overtaking than conventional bikes. When the non-motorized vehicle is under the load state (i.e. passengers or goods on the non-motorized vehicle), the overtaking behaviour takes more time than the un-load state. Moreover, it takes less time to overtake the non-motorized vehicle with load than to overtake the one without load. When there is a wrong-way driving phenomenon or under higher traffic volume, the duration is longer compared to the normal traffic and lower traffic volume conditions. The findings of this study attempt to provide a more profound understanding of non-motorized vehicles overtaking behaviour under different traffic conditions and give insights to the safety research of non-motorized vehicles. Public Library of Science 2021-01-29 /pmc/articles/PMC7845977/ /pubmed/33513148 http://dx.doi.org/10.1371/journal.pone.0244883 Text en © 2021 Liu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Liu, Yan
Fu, Chuanyun
Wang, Wei
Modeling duration of overtaking between non-motorized vehicles: A nonparametric survival analysis based approach
title Modeling duration of overtaking between non-motorized vehicles: A nonparametric survival analysis based approach
title_full Modeling duration of overtaking between non-motorized vehicles: A nonparametric survival analysis based approach
title_fullStr Modeling duration of overtaking between non-motorized vehicles: A nonparametric survival analysis based approach
title_full_unstemmed Modeling duration of overtaking between non-motorized vehicles: A nonparametric survival analysis based approach
title_short Modeling duration of overtaking between non-motorized vehicles: A nonparametric survival analysis based approach
title_sort modeling duration of overtaking between non-motorized vehicles: a nonparametric survival analysis based approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7845977/
https://www.ncbi.nlm.nih.gov/pubmed/33513148
http://dx.doi.org/10.1371/journal.pone.0244883
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