Investigation of saturation flow rate using video camera at signalized intersections in Jordan

This study aimed to investigate a potential list of variables that may have an impact on the saturation flow rate (SFR) associated with different turning movements at signalized intersections in Jordan. Direct visits to locations were conducted, and a video camera was used. Highway capacity manual s...

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Autores principales:	Al-Mistarehi Bara’ W., Alomari Ahmad H., Al Zoubi Mohamad S.
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2020
Materias:	intersection traffic signal saturation flow rate turning movements Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/bf13691839914626bf0ca16b09704ec9
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spelling	oai:doaj.org-article:bf13691839914626bf0ca16b09704ec92021-12-05T14:10:46ZInvestigation of saturation flow rate using video camera at signalized intersections in Jordan2391-543910.1515/eng-2021-0021https://doaj.org/article/bf13691839914626bf0ca16b09704ec92020-12-01T00:00:00Zhttps://doi.org/10.1515/eng-2021-0021https://doaj.org/toc/2391-5439This study aimed to investigate a potential list of variables that may have an impact on the saturation flow rate (SFR) associated with different turning movements at signalized intersections in Jordan. Direct visits to locations were conducted, and a video camera was used. Highway capacity manual standard procedure was followed to collect the necessary traffic data. Multiple linear regression was performed to classify the factors that impact the SFR and to find the optimal model to foretell the SFR. Results showed that turning radius, presence of camera enforcement, and the speed limit are the significant factors that influence SFR for shared left- and U-turning movements (LUTM) with R2 = 76.9%. Furthermore, the presence of camera enforcement, number of lanes, speed limit, city, traffic volume, and area type are the factors that impact SFR for through movements only (THMO) with R2 = 69.6%. Also, it was found that the SFR for LUTM is 1611 vehicles per hour per lane (VPHPL),which is less than the SFR for THMO that equals to 1840 VPHPL. Calibration and validation of SFR based on local conditions can improve the efficiency of infrastructure operation and planning activities because vehicles’ characteristics and drivers’ behavior change over time.Al-Mistarehi Bara’ W.Alomari Ahmad H.Al Zoubi Mohamad S.De Gruyterarticleintersectiontraffic signalsaturation flow rateturning movementsEngineering (General). Civil engineering (General)TA1-2040ENOpen Engineering, Vol 11, Iss 1, Pp 216-226 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	intersection traffic signal saturation flow rate turning movements Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	intersection traffic signal saturation flow rate turning movements Engineering (General). Civil engineering (General) TA1-2040 Al-Mistarehi Bara’ W. Alomari Ahmad H. Al Zoubi Mohamad S. Investigation of saturation flow rate using video camera at signalized intersections in Jordan
description	This study aimed to investigate a potential list of variables that may have an impact on the saturation flow rate (SFR) associated with different turning movements at signalized intersections in Jordan. Direct visits to locations were conducted, and a video camera was used. Highway capacity manual standard procedure was followed to collect the necessary traffic data. Multiple linear regression was performed to classify the factors that impact the SFR and to find the optimal model to foretell the SFR. Results showed that turning radius, presence of camera enforcement, and the speed limit are the significant factors that influence SFR for shared left- and U-turning movements (LUTM) with R2 = 76.9%. Furthermore, the presence of camera enforcement, number of lanes, speed limit, city, traffic volume, and area type are the factors that impact SFR for through movements only (THMO) with R2 = 69.6%. Also, it was found that the SFR for LUTM is 1611 vehicles per hour per lane (VPHPL),which is less than the SFR for THMO that equals to 1840 VPHPL. Calibration and validation of SFR based on local conditions can improve the efficiency of infrastructure operation and planning activities because vehicles’ characteristics and drivers’ behavior change over time.
format	article
author	Al-Mistarehi Bara’ W. Alomari Ahmad H. Al Zoubi Mohamad S.
author_facet	Al-Mistarehi Bara’ W. Alomari Ahmad H. Al Zoubi Mohamad S.
author_sort	Al-Mistarehi Bara’ W.
title	Investigation of saturation flow rate using video camera at signalized intersections in Jordan
title_short	Investigation of saturation flow rate using video camera at signalized intersections in Jordan
title_full	Investigation of saturation flow rate using video camera at signalized intersections in Jordan
title_fullStr	Investigation of saturation flow rate using video camera at signalized intersections in Jordan
title_full_unstemmed	Investigation of saturation flow rate using video camera at signalized intersections in Jordan
title_sort	investigation of saturation flow rate using video camera at signalized intersections in jordan
publisher	De Gruyter
publishDate	2020
url	https://doaj.org/article/bf13691839914626bf0ca16b09704ec9
work_keys_str_mv	AT almistarehibaraw investigationofsaturationflowrateusingvideocameraatsignalizedintersectionsinjordan AT alomariahmadh investigationofsaturationflowrateusingvideocameraatsignalizedintersectionsinjordan AT alzoubimohamads investigationofsaturationflowrateusingvideocameraatsignalizedintersectionsinjordan
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Investigation of saturation flow rate using video camera at signalized intersections in Jordan

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