Using Surface Geometry to Identify Potential Hydroplaning Locations

Gurganus, Charles; Devadas, Arvind; Messhenas, Saber

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Using Surface Geometry to Identify Potential Hydroplaning Locations

2023-08-01
By Gurganus, Charles ; Devadas, Arvind ; Messhenas, Saber

File Language:

English

Details

Creators:

Gurganus, Charles ; Devadas, Arvind ; Messhenas, Saber
Corporate Creators:

Texas A&M Transportation Institute
Corporate Contributors:

Texas. Dept. of Transportation. Research and Technology Implementation Office ; United States. Department of Transportation. Federal Highway Administration
Subject/TRT Terms:
Publication/ Report Number:

FHWA/TX-23/0-7098-R1
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

July 2020–August 2022
Corporate Publisher:

Texas A&M Transportation Institute
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.
Format:

PDF
Funding:

0-7098
Download URL:

https://rosap.ntl.bts.gov/view/dot/72339/dot_72339_DS1.pdf
File Type:

[PDF - 1.22 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:755772cf770d2b26365044c27877b696bd9e61b255348628edaa788516511bf75c219060553b71289771130d35b848c0800574767a49c0b42e1b2537ec63dec5

File Language:

English

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