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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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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. |
format | Online Article Text |
id | pubmed-7845977 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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