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Title:

Mobile LiDAR Mapping of Roadside Ditches for Drainage Analysis

Accession Number:

01763429

Record Type:

Component

Abstract:

Maintenance of roadside ditches is important to avoid localized flooding and premature failure of pavements. Scheduling effectively preventative maintenance requires reasonably detailed mapping of the ditch profile to identify areas requiring excavation of long term sediment accumulations. High-resolution, high-quality point clouds collected by mobile mapping systems (MMS) provide an opportunity for effective monitoring of roadside ditches and perform hydrological analyses. Combining the drainage analysis result with other information derived from the MMS data, such as lane marking and debris/pavement distress locations, leads to a thorough examination of highway conditions, which are critical for prioritizing and planning maintenance. This study proposes a framework for mapping roadside ditches for slope and drainage analysis. The existing ground filtering approach – cloth simulation – is modified to handle the variations in point density of mobile LiDAR data. Hydrological analyses, including flow direction and flow accumulation, are applied to extract the drainage network from the digital terrain model (DTM). The cross-sectional/longitudinal profiles of the ditch are automatically extracted from LiDAR data, and visualized in 3D point clouds and 2D images. The slope derived from the LiDAR data compared very close with highway cross slope design standards of 2% on driving lanes, 4% on shoulder as well as 6-by-1 slope for ditch lines. Error propagation models and previous field test suggest this technology can map the vertical profile of a ditch with an accuracy of 2-3 centimeters at distances up to 30 meters from the mobile mapping vehicle.

Supplemental Notes:

This paper was sponsored by TRB committee AKR20 Standing Committee on Roadside Maintenance Operations.

Report/Paper Numbers:

TRBAM-21-03782

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Lin, Yi Chun
Bullock, Darcy
Habib, Ayman

Pagination:

18p

Publication Date:

2021

Conference:

Transportation Research Board 100th Annual Meeting

Location: Washington DC, United States
Date: 2021-1-5 to 2021-1-29
Sponsors: Transportation Research Board; Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Photos; References

Identifier Terms:

Mobile Mapping System

Subject Areas:

Data and Information Technology; Highways; Hydraulics and Hydrology; Maintenance and Preservation; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2021 Paper #TRBAM-21-03782

Files:

TRIS, TRB, ATRI

Created Date:

Dec 23 2020 10:59AM