@article{ref1,
title="Evaluation of highway hydroplaning risk based on 3D laser scanning and water-film thickness estimation",
journal="International journal of environmental research and public health",
year="2022",
author="Yang, Wenchen and Tian, Bijiang and Fang, Yuwei and Wu, Difei and Zhou, Linyi and Cai, Juewei",
volume="19",
number="13",
pages="e7699-e7699",
abstract="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.<p /> <p>Language: en</p>",
language="en",
issn="1661-7827",
doi="10.3390/ijerph19137699",
url="http://dx.doi.org/10.3390/ijerph19137699"
}