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Estimation of Critical Gap Based on Raff's Definition

Critical gap is an important parameter used to calculate the capacity and delay of minor road in gap acceptance theory of unsignalized intersections. At an unsignalized intersection with two one-way traffic flows, it is assumed that two events are independent between vehicles' arrival of major...

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Detalles Bibliográficos
Autores principales: Guo, Rui-jun, Wang, Xiao-jing, Wang, Wan-xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4241706/
https://www.ncbi.nlm.nih.gov/pubmed/25574160
http://dx.doi.org/10.1155/2014/236072
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author Guo, Rui-jun
Wang, Xiao-jing
Wang, Wan-xiang
author_facet Guo, Rui-jun
Wang, Xiao-jing
Wang, Wan-xiang
author_sort Guo, Rui-jun
collection PubMed
description Critical gap is an important parameter used to calculate the capacity and delay of minor road in gap acceptance theory of unsignalized intersections. At an unsignalized intersection with two one-way traffic flows, it is assumed that two events are independent between vehicles' arrival of major stream and vehicles' arrival of minor stream. The headways of major stream follow M3 distribution. Based on Raff's definition of critical gap, two calculation models are derived, which are named M3 definition model and revised Raff's model. Both models use total rejected coefficient. Different calculation models are compared by simulation and new models are found to be valid. The conclusion reveals that M3 definition model is simple and valid. Revised Raff's model strictly obeys the definition of Raff's critical gap and its application field is more extensive than Raff's model. It can get a more accurate result than the former Raff's model. The M3 definition model and revised Raff's model can derive accordant result.
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spelling pubmed-42417062015-01-08 Estimation of Critical Gap Based on Raff's Definition Guo, Rui-jun Wang, Xiao-jing Wang, Wan-xiang Comput Intell Neurosci Research Article Critical gap is an important parameter used to calculate the capacity and delay of minor road in gap acceptance theory of unsignalized intersections. At an unsignalized intersection with two one-way traffic flows, it is assumed that two events are independent between vehicles' arrival of major stream and vehicles' arrival of minor stream. The headways of major stream follow M3 distribution. Based on Raff's definition of critical gap, two calculation models are derived, which are named M3 definition model and revised Raff's model. Both models use total rejected coefficient. Different calculation models are compared by simulation and new models are found to be valid. The conclusion reveals that M3 definition model is simple and valid. Revised Raff's model strictly obeys the definition of Raff's critical gap and its application field is more extensive than Raff's model. It can get a more accurate result than the former Raff's model. The M3 definition model and revised Raff's model can derive accordant result. Hindawi Publishing Corporation 2014 2014-11-09 /pmc/articles/PMC4241706/ /pubmed/25574160 http://dx.doi.org/10.1155/2014/236072 Text en Copyright © 2014 Rui-jun Guo et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Guo, Rui-jun
Wang, Xiao-jing
Wang, Wan-xiang
Estimation of Critical Gap Based on Raff's Definition
title Estimation of Critical Gap Based on Raff's Definition
title_full Estimation of Critical Gap Based on Raff's Definition
title_fullStr Estimation of Critical Gap Based on Raff's Definition
title_full_unstemmed Estimation of Critical Gap Based on Raff's Definition
title_short Estimation of Critical Gap Based on Raff's Definition
title_sort estimation of critical gap based on raff's definition
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4241706/
https://www.ncbi.nlm.nih.gov/pubmed/25574160
http://dx.doi.org/10.1155/2014/236072
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