Identifying the Most Critical Intersections in Transportation Networks

With the increasing population worldwide, the number of vehicles is increasing day by day. This increase also creates different traffic problems. Various analysis methods are developed to solve traffic problems and to better examine the road transport network. Especially with the development of tech...

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Autores principales:	Emre Kuşkapan*, M. Yasin Çodur, Ahmet Tortum
Formato:	article
Lenguaje:	EN
Publicado:	Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2021
Materias:	Highway network Interdisciplinary sciences Social network analysis Traffic problems Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/8700f9bdd3df4fac86d9b5551b9cfae2
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id	oai:doaj.org-article:8700f9bdd3df4fac86d9b5551b9cfae2
record_format	dspace
spelling	oai:doaj.org-article:8700f9bdd3df4fac86d9b5551b9cfae22021-11-07T00:34:59ZIdentifying the Most Critical Intersections in Transportation Networks1330-36511848-6339https://doaj.org/article/8700f9bdd3df4fac86d9b5551b9cfae22021-01-01T00:00:00Zhttps://hrcak.srce.hr/file/383556https://doaj.org/toc/1330-3651https://doaj.org/toc/1848-6339With the increasing population worldwide, the number of vehicles is increasing day by day. This increase also creates different traffic problems. Various analysis methods are developed to solve traffic problems and to better examine the road transport network. Especially with the development of technology and intelligent transportation systems entering our lives, analyses can be made using computer software and programs. In this study; using the social network analysis method, the use of which has increased in the field of transportation in recent years, the highway network structure of Erzurum Province - which consists of district connection roads has been analyzed. While making the analysis, the network structure was examined through five different centrality concepts and the critical sequence of the intersections in the district connection roads was determined. Accuracy percentages of the concepts of centrality were determined by comparing the sequences obtained with the sequences actually applied. Then, it was determined that the most suitable centrality concept for the study was Bonacich Power.Emre Kuşkapan*M. Yasin ÇodurAhmet TortumFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek articleHighway networkInterdisciplinary sciencesSocial network analysisTraffic problemsEngineering (General). Civil engineering (General)TA1-2040ENTehnički Vjesnik, Vol 28, Iss 6, Pp 1920-1926 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Highway network Interdisciplinary sciences Social network analysis Traffic problems Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Highway network Interdisciplinary sciences Social network analysis Traffic problems Engineering (General). Civil engineering (General) TA1-2040 Emre Kuşkapan* M. Yasin Çodur Ahmet Tortum Identifying the Most Critical Intersections in Transportation Networks
description	With the increasing population worldwide, the number of vehicles is increasing day by day. This increase also creates different traffic problems. Various analysis methods are developed to solve traffic problems and to better examine the road transport network. Especially with the development of technology and intelligent transportation systems entering our lives, analyses can be made using computer software and programs. In this study; using the social network analysis method, the use of which has increased in the field of transportation in recent years, the highway network structure of Erzurum Province - which consists of district connection roads has been analyzed. While making the analysis, the network structure was examined through five different centrality concepts and the critical sequence of the intersections in the district connection roads was determined. Accuracy percentages of the concepts of centrality were determined by comparing the sequences obtained with the sequences actually applied. Then, it was determined that the most suitable centrality concept for the study was Bonacich Power.
format	article
author	Emre Kuşkapan* M. Yasin Çodur Ahmet Tortum
author_facet	Emre Kuşkapan* M. Yasin Çodur Ahmet Tortum
author_sort	Emre Kuşkapan*
title	Identifying the Most Critical Intersections in Transportation Networks
title_short	Identifying the Most Critical Intersections in Transportation Networks
title_full	Identifying the Most Critical Intersections in Transportation Networks
title_fullStr	Identifying the Most Critical Intersections in Transportation Networks
title_full_unstemmed	Identifying the Most Critical Intersections in Transportation Networks
title_sort	identifying the most critical intersections in transportation networks
publisher	Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
publishDate	2021
url	https://doaj.org/article/8700f9bdd3df4fac86d9b5551b9cfae2
work_keys_str_mv	AT emrekuskapan identifyingthemostcriticalintersectionsintransportationnetworks AT myasincodur identifyingthemostcriticalintersectionsintransportationnetworks AT ahmettortum identifyingthemostcriticalintersectionsintransportationnetworks
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Identifying the Most Critical Intersections in Transportation Networks

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