Assessment on the crash risk factors of a typical long-span bridge using oversampling-based classification method and considering bridge structure movement

In comparison to ordinary highways, traffic accidents on long-span bridges have unique characteristics due to large percentages of large trucks, inclement weather conditions, and dynamically moving bridge structures. Presently, there is a research significant gap in the existing literature about the...

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Autores principales:	Peiyan Chen, Feng Chen, Young-Ji Byon, Xiaoxiang Ma, Bowen Dong, Ming Zhu
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Long-span bridge crash Over-sampling classification Bridge structure movement Traffic safety Transportation engineering TA1001-1280
Acceso en línea:	https://doaj.org/article/9f15c72b21914fbfbb3ec9350b5393ff
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spelling	oai:doaj.org-article:9f15c72b21914fbfbb3ec9350b5393ff2021-11-30T04:15:28ZAssessment on the crash risk factors of a typical long-span bridge using oversampling-based classification method and considering bridge structure movement2046-043010.1016/j.ijtst.2020.10.003https://doaj.org/article/9f15c72b21914fbfbb3ec9350b5393ff2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2046043020300642https://doaj.org/toc/2046-0430In comparison to ordinary highways, traffic accidents on long-span bridges have unique characteristics due to large percentages of large trucks, inclement weather conditions, and dynamically moving bridge structures. Presently, there is a research significant gap in the existing literature about the traffic safety of long-span bridges due to those difficulties. Meanwhile, the structure movement data of bridge is difficult to obtain. In this paper, real-time data related to the bridge crashes including surrounding environment, traffic status and especially structural movement were obtained from monitoring system of a long-span bridge. An oversampling-based classification method was utilized to explore the risk factors of the long-span bridge crashes. The results indicate that higher maximum wind speed and volume prior to a crash tend to increase the likelihood of the occurrences of the crash, while higher temperature, humidity, average vehicle speed and truck percentage are found to decrease the likelihood. Moreover, the structure movement indicators including horizontal vibration acceleration and deformation are found to have significant adverse effects on the traffic safety of the long-span bridge, and we recommend that those factors should be considered at the design stage.Peiyan ChenFeng ChenYoung-Ji ByonXiaoxiang MaBowen DongMing ZhuElsevierarticleLong-span bridge crashOver-sampling classificationBridge structure movementTraffic safetyTransportation engineeringTA1001-1280ENInternational Journal of Transportation Science and Technology, Vol 10, Iss 4, Pp 329-341 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Long-span bridge crash Over-sampling classification Bridge structure movement Traffic safety Transportation engineering TA1001-1280
spellingShingle	Long-span bridge crash Over-sampling classification Bridge structure movement Traffic safety Transportation engineering TA1001-1280 Peiyan Chen Feng Chen Young-Ji Byon Xiaoxiang Ma Bowen Dong Ming Zhu Assessment on the crash risk factors of a typical long-span bridge using oversampling-based classification method and considering bridge structure movement
description	In comparison to ordinary highways, traffic accidents on long-span bridges have unique characteristics due to large percentages of large trucks, inclement weather conditions, and dynamically moving bridge structures. Presently, there is a research significant gap in the existing literature about the traffic safety of long-span bridges due to those difficulties. Meanwhile, the structure movement data of bridge is difficult to obtain. In this paper, real-time data related to the bridge crashes including surrounding environment, traffic status and especially structural movement were obtained from monitoring system of a long-span bridge. An oversampling-based classification method was utilized to explore the risk factors of the long-span bridge crashes. The results indicate that higher maximum wind speed and volume prior to a crash tend to increase the likelihood of the occurrences of the crash, while higher temperature, humidity, average vehicle speed and truck percentage are found to decrease the likelihood. Moreover, the structure movement indicators including horizontal vibration acceleration and deformation are found to have significant adverse effects on the traffic safety of the long-span bridge, and we recommend that those factors should be considered at the design stage.
format	article
author	Peiyan Chen Feng Chen Young-Ji Byon Xiaoxiang Ma Bowen Dong Ming Zhu
author_facet	Peiyan Chen Feng Chen Young-Ji Byon Xiaoxiang Ma Bowen Dong Ming Zhu
author_sort	Peiyan Chen
title	Assessment on the crash risk factors of a typical long-span bridge using oversampling-based classification method and considering bridge structure movement
title_short	Assessment on the crash risk factors of a typical long-span bridge using oversampling-based classification method and considering bridge structure movement
title_full	Assessment on the crash risk factors of a typical long-span bridge using oversampling-based classification method and considering bridge structure movement
title_fullStr	Assessment on the crash risk factors of a typical long-span bridge using oversampling-based classification method and considering bridge structure movement
title_full_unstemmed	Assessment on the crash risk factors of a typical long-span bridge using oversampling-based classification method and considering bridge structure movement
title_sort	assessment on the crash risk factors of a typical long-span bridge using oversampling-based classification method and considering bridge structure movement
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/9f15c72b21914fbfbb3ec9350b5393ff
work_keys_str_mv	AT peiyanchen assessmentonthecrashriskfactorsofatypicallongspanbridgeusingoversamplingbasedclassificationmethodandconsideringbridgestructuremovement AT fengchen assessmentonthecrashriskfactorsofatypicallongspanbridgeusingoversamplingbasedclassificationmethodandconsideringbridgestructuremovement AT youngjibyon assessmentonthecrashriskfactorsofatypicallongspanbridgeusingoversamplingbasedclassificationmethodandconsideringbridgestructuremovement AT xiaoxiangma assessmentonthecrashriskfactorsofatypicallongspanbridgeusingoversamplingbasedclassificationmethodandconsideringbridgestructuremovement AT bowendong assessmentonthecrashriskfactorsofatypicallongspanbridgeusingoversamplingbasedclassificationmethodandconsideringbridgestructuremovement AT mingzhu assessmentonthecrashriskfactorsofatypicallongspanbridgeusingoversamplingbasedclassificationmethodandconsideringbridgestructuremovement
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Assessment on the crash risk factors of a typical long-span bridge using oversampling-based classification method and considering bridge structure movement

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