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The impact of vehicle moving violations and freeway traffic flow on crash risk: An application of plugin development for microsimulation
This paper presents the use of the Aimsun microsimulation program to simulate vehicle violating behaviors and observe their impact on road traffic crash risk. Plugins for violations of speeding, slow driving, and abrupt stopping were developed using Aimsun’s API and SDK module. A safety analysis plu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5590972/ https://www.ncbi.nlm.nih.gov/pubmed/28886141 http://dx.doi.org/10.1371/journal.pone.0184564 |
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author | Wang, Junhua Kong, Yumeng Fu, Ting Stipancic, Joshua |
author_facet | Wang, Junhua Kong, Yumeng Fu, Ting Stipancic, Joshua |
author_sort | Wang, Junhua |
collection | PubMed |
description | This paper presents the use of the Aimsun microsimulation program to simulate vehicle violating behaviors and observe their impact on road traffic crash risk. Plugins for violations of speeding, slow driving, and abrupt stopping were developed using Aimsun’s API and SDK module. A safety analysis plugin for investigating probability of rear-end collisions was developed, and a method for analyzing collision risk is proposed. A Fuzzy C-mean Clustering algorithm was developed to identify high risk states in different road segments over time. Results of a simulation experiment based on the G15 Expressway in Shanghai showed that abrupt stopping had the greatest impact on increasing collision risk, and the impact of violations increased with traffic volume. The methodology allows for the evaluation and monitoring of risks, alerting of road hazards, and identification of hotspots, and could be applied to the operations of existing facilities or planning of future ones. |
format | Online Article Text |
id | pubmed-5590972 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-55909722017-09-15 The impact of vehicle moving violations and freeway traffic flow on crash risk: An application of plugin development for microsimulation Wang, Junhua Kong, Yumeng Fu, Ting Stipancic, Joshua PLoS One Research Article This paper presents the use of the Aimsun microsimulation program to simulate vehicle violating behaviors and observe their impact on road traffic crash risk. Plugins for violations of speeding, slow driving, and abrupt stopping were developed using Aimsun’s API and SDK module. A safety analysis plugin for investigating probability of rear-end collisions was developed, and a method for analyzing collision risk is proposed. A Fuzzy C-mean Clustering algorithm was developed to identify high risk states in different road segments over time. Results of a simulation experiment based on the G15 Expressway in Shanghai showed that abrupt stopping had the greatest impact on increasing collision risk, and the impact of violations increased with traffic volume. The methodology allows for the evaluation and monitoring of risks, alerting of road hazards, and identification of hotspots, and could be applied to the operations of existing facilities or planning of future ones. Public Library of Science 2017-09-08 /pmc/articles/PMC5590972/ /pubmed/28886141 http://dx.doi.org/10.1371/journal.pone.0184564 Text en © 2017 Wang 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 Wang, Junhua Kong, Yumeng Fu, Ting Stipancic, Joshua The impact of vehicle moving violations and freeway traffic flow on crash risk: An application of plugin development for microsimulation |
title | The impact of vehicle moving violations and freeway traffic flow on crash risk: An application of plugin development for microsimulation |
title_full | The impact of vehicle moving violations and freeway traffic flow on crash risk: An application of plugin development for microsimulation |
title_fullStr | The impact of vehicle moving violations and freeway traffic flow on crash risk: An application of plugin development for microsimulation |
title_full_unstemmed | The impact of vehicle moving violations and freeway traffic flow on crash risk: An application of plugin development for microsimulation |
title_short | The impact of vehicle moving violations and freeway traffic flow on crash risk: An application of plugin development for microsimulation |
title_sort | impact of vehicle moving violations and freeway traffic flow on crash risk: an application of plugin development for microsimulation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5590972/ https://www.ncbi.nlm.nih.gov/pubmed/28886141 http://dx.doi.org/10.1371/journal.pone.0184564 |
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