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Article

Evaluation of Highway Hydroplaning Risk Based on 3D Laser Scanning and Water-Film Thickness Estimation

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National Engineering Laboratory for Surface Transportation Weather Impacts Prevention, Broadvision Engineering Consultants Co., Ltd., Kunming 650200, China
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Yunnan Key Laboratory of Digital Communications, Kunming 650103, China
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Key Laboratory of Transportation Meteorology, China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210008, China
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Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, China
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Author to whom correspondence should be addressed.
Academic Editors: Feng Lu and Paul B. Tchounwou
Int. J. Environ. Res. Public Health 2022, 19(13), 7699; https://doi.org/10.3390/ijerph19137699
Received: 21 May 2022 / Revised: 18 June 2022 / Accepted: 20 June 2022 / Published: 23 June 2022
Hydroplaning risk evaluation plays a pivotal role in highway safety management. It is also an important component in the intelligent transportation system (ITS) ensuring human driving safety. Water-film is the widely accepted vital factor resulting in hydroplaning and thus continuously gained researchers’ attention in recent years. This paper provides a new framework to evaluate the hydroplaning potential based on emerging 3D laser scanning technology and water-film thickness estimation. The 3D information of the road surface was captured using a vehicle-mounted Light Detection and Ranging (LiDAR) system and then processed by a wavelet-based filter to remove the redundant information (surrounding environment: trees, buildings, and vehicles). Then, the water film thickness on the given road surface was estimated based on a proposed numerical algorithm developed by the two-dimensional depth-averaged Shallow Water Equations (2DDA-SWE). The effect of the road surface geometry was also investigated based on several field test data in Shanghai, China, in January 2021. The results indicated that the water-film is more likely to appear on the rutting tracks and the pavement with local unevenness. Based on the estimated water-film, the hydroplaning speeds were then estimated to represent the hydroplaning risk of asphalt pavement in rainy weather. The proposed method provides new insights into the water-film estimation, which can help drivers make effective decisions to maintain safe driving. View Full-Text
Keywords: hydroplaning risk; water-film thickness; 3D laser scanning; LiDAR; pavement profile hydroplaning risk; water-film thickness; 3D laser scanning; LiDAR; pavement profile
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MDPI and ACS Style

Yang, W.; Tian, B.; Fang, Y.; Wu, D.; Zhou, L.; Cai, J. Evaluation of Highway Hydroplaning Risk Based on 3D Laser Scanning and Water-Film Thickness Estimation. Int. J. Environ. Res. Public Health 2022, 19, 7699. https://doi.org/10.3390/ijerph19137699

AMA Style

Yang W, Tian B, Fang Y, Wu D, Zhou L, Cai J. Evaluation of Highway Hydroplaning Risk Based on 3D Laser Scanning and Water-Film Thickness Estimation. International Journal of Environmental Research and Public Health. 2022; 19(13):7699. https://doi.org/10.3390/ijerph19137699

Chicago/Turabian Style

Yang, Wenchen, Bijiang Tian, Yuwei Fang, Difei Wu, Linyi Zhou, and Juewei Cai. 2022. "Evaluation of Highway Hydroplaning Risk Based on 3D Laser Scanning and Water-Film Thickness Estimation" International Journal of Environmental Research and Public Health 19, no. 13: 7699. https://doi.org/10.3390/ijerph19137699

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