| Abstract: | Hydroplaning occurs because of a series of unfortunate events that result from a combination of driver behavior, vehicle characteristics, and roadway features. Surface geometry and roadway texture are two variables within the control of the managing agency. This study identified hydroplaning vulnerable areas using mobile light detecting and ranging (LiDAR) measurements to measure the roadway surface and map roadway drainage basins. Identifying these areas allows managing agencies to develop a hydroplaning mitigation plan, addressing the geometric variables within the agency's control. This study first displayed the technological ability to collect, process, and analyze data necessary to identify vulnerable hydroplaning locations. Initially, this process used multiple software tools. The second part of this study streamlined the process to limit manual intervention and expedite analysis. |
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