Zobrazeno 1 - 10 of 13 pro vyhledávání: '"Seung-oh SON"'
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Akademický článek
An Algorithm for Detecting Collision Risk between Trucks and Pedestrians in the Connected Environment
Autor: Seung-oh Son, Juneyoung Park, Cheol Oh, Chunho Yeom
Publikováno v: Journal of Advanced Transportation, Vol 2021 (2021)
This study develops an algorithm to detect the risk of collision between trucks (i.e., yard tractors) and pedestrians (i.e., workers) in the connected environment of the port. The algorithm consists of linear regression-based movable coordinate predi
Externí odkaz: https://doaj.org/article/d6ff7a4a6558474f89f571902b108e3a
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5
Development of New Performance Measures Based on Data Mining Weights for Hotspot Identification
Autor: Seung-oh Son, Juneyoung Park, Gunwoo Lee, Mohamed Abdel-Aty
Publikováno v: Transportation Research Record: Journal of the Transportation Research Board. 2676:633-647
In this study, new performance measures are proposed for hotspot identification in urban intersections. These measures reflect severity factor weights, which are determined based on data mining. To estimate the severity factor weights of crashes at u
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bb5a2bce1f29b10d8b7fdb5a6e299262
https://doi.org/10.1177/03611981221084682
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7
Using vehicle data as a surrogate for highway accident data
Autor: Juneyoung Park, Sungmin Hong, Seung-oh Son, Seongmin Park, Cheol Oh
Publikováno v: Proceedings of the Institution of Civil Engineers - Municipal Engineer. 174:67-74
Many studies have tried to use the surrogate safety measures (SSM) estimated from the microscopic traffic simulations. However, it is difficult to adopt these developed SSM to reflect real-world traffic conditions when the developed network in the si
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::434521168c3c99a9021f6b3a1471039e
https://doi.org/10.1680/jmuen.20.00012
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10
An Algorithm for Detecting Collision Risk between Trucks and Pedestrians in the Connected Environment
Autor: Cheol Oh, Juneyoung Park, Chunho Yeom, Seung-oh Son
Publikováno v: Journal of Advanced Transportation, Vol 2021 (2021)
This study develops an algorithm to detect the risk of collision between trucks (i.e., yard tractors) and pedestrians (i.e., workers) in the connected environment of the port. The algorithm consists of linear regression-based movable coordinate predi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06f3617d0306a2009e5209701ca09991
Zobrazit plný text záznamu

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Plný text Recenzováno Digitální knihovna AV ČR
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