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Empirical study of lane-changing behavior on three Chinese freeways

Lane-changing (LC) behavior is investigated on Chinese freeways, where the driving circumstances are relatively aggressive. Three data sets were collected from urban expressways and an intercity highway in the form of traffic videos. Different aspects of LC behaviors are analyzed, i.e., the LC rate,...

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Detalles Bibliográficos
Autores principales: Guo, Mingmin, Wu, Zheng, Zhu, Huibing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5783389/
https://www.ncbi.nlm.nih.gov/pubmed/29364936
http://dx.doi.org/10.1371/journal.pone.0191466
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author Guo, Mingmin
Wu, Zheng
Zhu, Huibing
author_facet Guo, Mingmin
Wu, Zheng
Zhu, Huibing
author_sort Guo, Mingmin
collection PubMed
description Lane-changing (LC) behavior is investigated on Chinese freeways, where the driving circumstances are relatively aggressive. Three data sets were collected from urban expressways and an intercity highway in the form of traffic videos. Different aspects of LC behaviors are analyzed, i.e., the LC rate, motivation, target lane choice and impact on traffic. The results suggest that LC is a transient behavior that randomly occurs with high frequency, which is the main feature of aggressive driving. Several LC patterns and the combination effect of ramps, fast lanes and various vehicle types are presented. The influence of LC on local traffic endures for approximately 15 to 30 s, which rapidly increases and slowly declines. LC behavior will increase the risk of high-speed car-following. All results are obtained from the empirical data; they will be useful for traffic management and traffic modeling.
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spelling pubmed-57833892018-02-08 Empirical study of lane-changing behavior on three Chinese freeways Guo, Mingmin Wu, Zheng Zhu, Huibing PLoS One Research Article Lane-changing (LC) behavior is investigated on Chinese freeways, where the driving circumstances are relatively aggressive. Three data sets were collected from urban expressways and an intercity highway in the form of traffic videos. Different aspects of LC behaviors are analyzed, i.e., the LC rate, motivation, target lane choice and impact on traffic. The results suggest that LC is a transient behavior that randomly occurs with high frequency, which is the main feature of aggressive driving. Several LC patterns and the combination effect of ramps, fast lanes and various vehicle types are presented. The influence of LC on local traffic endures for approximately 15 to 30 s, which rapidly increases and slowly declines. LC behavior will increase the risk of high-speed car-following. All results are obtained from the empirical data; they will be useful for traffic management and traffic modeling. Public Library of Science 2018-01-24 /pmc/articles/PMC5783389/ /pubmed/29364936 http://dx.doi.org/10.1371/journal.pone.0191466 Text en © 2018 Guo 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
Guo, Mingmin
Wu, Zheng
Zhu, Huibing
Empirical study of lane-changing behavior on three Chinese freeways
title Empirical study of lane-changing behavior on three Chinese freeways
title_full Empirical study of lane-changing behavior on three Chinese freeways
title_fullStr Empirical study of lane-changing behavior on three Chinese freeways
title_full_unstemmed Empirical study of lane-changing behavior on three Chinese freeways
title_short Empirical study of lane-changing behavior on three Chinese freeways
title_sort empirical study of lane-changing behavior on three chinese freeways
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5783389/
https://www.ncbi.nlm.nih.gov/pubmed/29364936
http://dx.doi.org/10.1371/journal.pone.0191466
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