Comparison of Traffic Flow Models with Real Traffic Data Based on a Quantitative Assessment

The fundamental relationship of traffic flow and bivariate relations between speed and flow, speed and density, and flow and density are of great importance in transportation engineering. Fundamental relationship models may be applied to assess and forecast traffic conditions at uninterrupted traffi...

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Autores principales:	Aleksandra Romanowska, Kazimierz Jamroz
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	traffic flow models fundamental relationship of traffic flow uninterrupted traffic flow traffic conditions analysis single-regime models multi-regime models Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/fee12a594d074ac78488030750720f24
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spelling	oai:doaj.org-article:fee12a594d074ac78488030750720f242021-11-11T15:00:41ZComparison of Traffic Flow Models with Real Traffic Data Based on a Quantitative Assessment10.3390/app112199142076-3417https://doaj.org/article/fee12a594d074ac78488030750720f242021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/9914https://doaj.org/toc/2076-3417The fundamental relationship of traffic flow and bivariate relations between speed and flow, speed and density, and flow and density are of great importance in transportation engineering. Fundamental relationship models may be applied to assess and forecast traffic conditions at uninterrupted traffic flow facilities. The objective of the article was to analyze and compare existing models of the fundamental relationship. To that end, we proposed a universal and quantitative method for assessing models of the fundamental relationship based on real traffic data from a Polish expressway. The proposed methodology seeks to address the problem of finding the best deterministic model to describe the empirical relationship between fundamental traffic flow parameters: average speed, flow, and density based on simple and transparent criteria. Both single and multi-regime models were considered: a total of 17 models. For the given data, the results helped to identify the best performing models that meet the boundary conditions and ensure simplicity, empirical accuracy, and good estimation of traffic flow parameters.Aleksandra RomanowskaKazimierz JamrozMDPI AGarticletraffic flow modelsfundamental relationship of traffic flowuninterrupted traffic flowtraffic conditions analysissingle-regime modelsmulti-regime modelsTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 9914, p 9914 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	traffic flow models fundamental relationship of traffic flow uninterrupted traffic flow traffic conditions analysis single-regime models multi-regime models Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	traffic flow models fundamental relationship of traffic flow uninterrupted traffic flow traffic conditions analysis single-regime models multi-regime models Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Aleksandra Romanowska Kazimierz Jamroz Comparison of Traffic Flow Models with Real Traffic Data Based on a Quantitative Assessment
description	The fundamental relationship of traffic flow and bivariate relations between speed and flow, speed and density, and flow and density are of great importance in transportation engineering. Fundamental relationship models may be applied to assess and forecast traffic conditions at uninterrupted traffic flow facilities. The objective of the article was to analyze and compare existing models of the fundamental relationship. To that end, we proposed a universal and quantitative method for assessing models of the fundamental relationship based on real traffic data from a Polish expressway. The proposed methodology seeks to address the problem of finding the best deterministic model to describe the empirical relationship between fundamental traffic flow parameters: average speed, flow, and density based on simple and transparent criteria. Both single and multi-regime models were considered: a total of 17 models. For the given data, the results helped to identify the best performing models that meet the boundary conditions and ensure simplicity, empirical accuracy, and good estimation of traffic flow parameters.
format	article
author	Aleksandra Romanowska Kazimierz Jamroz
author_facet	Aleksandra Romanowska Kazimierz Jamroz
author_sort	Aleksandra Romanowska
title	Comparison of Traffic Flow Models with Real Traffic Data Based on a Quantitative Assessment
title_short	Comparison of Traffic Flow Models with Real Traffic Data Based on a Quantitative Assessment
title_full	Comparison of Traffic Flow Models with Real Traffic Data Based on a Quantitative Assessment
title_fullStr	Comparison of Traffic Flow Models with Real Traffic Data Based on a Quantitative Assessment
title_full_unstemmed	Comparison of Traffic Flow Models with Real Traffic Data Based on a Quantitative Assessment
title_sort	comparison of traffic flow models with real traffic data based on a quantitative assessment
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/fee12a594d074ac78488030750720f24
work_keys_str_mv	AT aleksandraromanowska comparisonoftrafficflowmodelswithrealtrafficdatabasedonaquantitativeassessment AT kazimierzjamroz comparisonoftrafficflowmodelswithrealtrafficdatabasedonaquantitativeassessment
_version_	1718437947841183744

Comparison of Traffic Flow Models with Real Traffic Data Based on a Quantitative Assessment

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