Determining passenger car equivalent (PCEs) for pretimed signalized intersections with severe motorcycle composition using Bayesian linear regression.

Pretimed signalized intersection is known as a common source of congestion, especially in urban heterogeneous traffic. Furthermore, the accuracy of saturation flow rate is found to cause efficient and vital capacity estimation, in order to ensure optimal design and operation of the signal timings. P...

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Autores principales:	Sugiarto Sugiarto, Fadhlullah Apriandy, Yusria Darma, Sofyan M Saleh, Muhammad Rusdi, Tomio Miwa
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/c2a89e6de5824a9ab9d434a70ba350a1
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spelling	oai:doaj.org-article:c2a89e6de5824a9ab9d434a70ba350a12021-12-02T20:08:38ZDetermining passenger car equivalent (PCEs) for pretimed signalized intersections with severe motorcycle composition using Bayesian linear regression.1932-620310.1371/journal.pone.0256620https://doaj.org/article/c2a89e6de5824a9ab9d434a70ba350a12021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0256620https://doaj.org/toc/1932-6203Pretimed signalized intersection is known as a common source of congestion, especially in urban heterogeneous traffic. Furthermore, the accuracy of saturation flow rate is found to cause efficient and vital capacity estimation, in order to ensure optimal design and operation of the signal timings. Presently, the traffic also consists of diverse vehicle presence, each with its own static and dynamic characteristics. The passenger car equivalent (PCE) in an essential unit is also used to measure heterogenous traffic into the PCU (Passenger Car Unit). Based on the collection of observed data at three targets in Banda Aceh City, this study aims to redetermine the PCEs by using Bayesian linear regression, through the Random-walk Metropolis-Hastings and Gibbs sampling. The result showed that the obtained PCE values were 0.24, 1.0, and 0.80 for motorcycle (MC), passenger car (PC), and motorized rickshaw (MR), respectively. It also showed that a significant deviation was found between new and IHCM PCEs, as the source of error was partially due to the vehicle compositions. The present traffic characteristics were also substantially different from the prevailing conditions of IHCM 1997. Therefore, the proposed PCEs enhanced the accuracy of base saturation flow prediction, provided support for traffic operation design, alleviated congestion, and reduced delay within the city, which in turn improved the estimation of signalized intersection capacity.Sugiarto SugiartoFadhlullah ApriandyYusria DarmaSofyan M SalehMuhammad RusdiTomio MiwaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0256620 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sugiarto Sugiarto Fadhlullah Apriandy Yusria Darma Sofyan M Saleh Muhammad Rusdi Tomio Miwa Determining passenger car equivalent (PCEs) for pretimed signalized intersections with severe motorcycle composition using Bayesian linear regression.
description	Pretimed signalized intersection is known as a common source of congestion, especially in urban heterogeneous traffic. Furthermore, the accuracy of saturation flow rate is found to cause efficient and vital capacity estimation, in order to ensure optimal design and operation of the signal timings. Presently, the traffic also consists of diverse vehicle presence, each with its own static and dynamic characteristics. The passenger car equivalent (PCE) in an essential unit is also used to measure heterogenous traffic into the PCU (Passenger Car Unit). Based on the collection of observed data at three targets in Banda Aceh City, this study aims to redetermine the PCEs by using Bayesian linear regression, through the Random-walk Metropolis-Hastings and Gibbs sampling. The result showed that the obtained PCE values were 0.24, 1.0, and 0.80 for motorcycle (MC), passenger car (PC), and motorized rickshaw (MR), respectively. It also showed that a significant deviation was found between new and IHCM PCEs, as the source of error was partially due to the vehicle compositions. The present traffic characteristics were also substantially different from the prevailing conditions of IHCM 1997. Therefore, the proposed PCEs enhanced the accuracy of base saturation flow prediction, provided support for traffic operation design, alleviated congestion, and reduced delay within the city, which in turn improved the estimation of signalized intersection capacity.
format	article
author	Sugiarto Sugiarto Fadhlullah Apriandy Yusria Darma Sofyan M Saleh Muhammad Rusdi Tomio Miwa
author_facet	Sugiarto Sugiarto Fadhlullah Apriandy Yusria Darma Sofyan M Saleh Muhammad Rusdi Tomio Miwa
author_sort	Sugiarto Sugiarto
title	Determining passenger car equivalent (PCEs) for pretimed signalized intersections with severe motorcycle composition using Bayesian linear regression.
title_short	Determining passenger car equivalent (PCEs) for pretimed signalized intersections with severe motorcycle composition using Bayesian linear regression.
title_full	Determining passenger car equivalent (PCEs) for pretimed signalized intersections with severe motorcycle composition using Bayesian linear regression.
title_fullStr	Determining passenger car equivalent (PCEs) for pretimed signalized intersections with severe motorcycle composition using Bayesian linear regression.
title_full_unstemmed	Determining passenger car equivalent (PCEs) for pretimed signalized intersections with severe motorcycle composition using Bayesian linear regression.
title_sort	determining passenger car equivalent (pces) for pretimed signalized intersections with severe motorcycle composition using bayesian linear regression.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/c2a89e6de5824a9ab9d434a70ba350a1
work_keys_str_mv	AT sugiartosugiarto determiningpassengercarequivalentpcesforpretimedsignalizedintersectionswithseveremotorcyclecompositionusingbayesianlinearregression AT fadhlullahapriandy determiningpassengercarequivalentpcesforpretimedsignalizedintersectionswithseveremotorcyclecompositionusingbayesianlinearregression AT yusriadarma determiningpassengercarequivalentpcesforpretimedsignalizedintersectionswithseveremotorcyclecompositionusingbayesianlinearregression AT sofyanmsaleh determiningpassengercarequivalentpcesforpretimedsignalizedintersectionswithseveremotorcyclecompositionusingbayesianlinearregression AT muhammadrusdi determiningpassengercarequivalentpcesforpretimedsignalizedintersectionswithseveremotorcyclecompositionusingbayesianlinearregression AT tomiomiwa determiningpassengercarequivalentpcesforpretimedsignalizedintersectionswithseveremotorcyclecompositionusingbayesianlinearregression
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Determining passenger car equivalent (PCEs) for pretimed signalized intersections with severe motorcycle composition using Bayesian linear regression.

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