Open AccessPredicting the water film depth: A model based on the geometric features of road and capacity of drainage facilities
Author(s) -
Shuo Han,
Jinliang Xu,
Menghua Yan,
Sunjian Gao,
Xufeng Li,
Xunjiang Huang,
Zhaoxin Liu
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0252767
Subject(s) - drainage , environmental science , geometric design , road surface , drainage system (geomorphology) , hydrology (agriculture) , intensity (physics) , regression analysis , geotechnical engineering , civil engineering , mathematics , transport engineering , statistics , geology , engineering , ecology , biology , physics , quantum mechanics
The water film depth is a key variable that affects traffic safety under rainfall conditions. According to the Federal Highway Administration, approximately 5700 people are killed and more than 544 700 people are injured in crashes on wet pavements annually. While several studies have attempted to address water film depth issues by establishing prediction models, a few focused on the relationship among road geometric features, capacity of drainage facilities and water film depth. To ascertain the influence of the geometric features of road and facility drainage capacities on the water film depth, the road geometry features were first classified into four types, and the facility drainage capacities were considered from three aspects in this study. Furthermore, the concept of short-time rainfall grade was proposed according to the results of the field test. Finally, the theoretical prediction model for the water film depth was conceived, based on the geometric features of road and facility drainage capacities with different rainfall intensities. Compared with the traditional regression prediction models, the theoretical prediction model clearly shows the effects of the geometric features of road and facility drainage capacities. When the road drainage facilities have no drainage capacity, the water film depth increases rapidly with the rainfall intensity. This model can be used to predict the water film depth of road surfaces on rainy days, evaluate the effect of rainfall on the driving environment, and provide guidance for determining safety control measures on rainy days.