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Title:

Improving Quantity Estimating for Pavement Rehabilitation and Resurfacing Using Mobile Lidar

Accession Number:

01657913

Record Type:

Component

Abstract:

Repaving, rehabilitation and pavement maintenance are routine tasks of all state and local transportation agencies. Compared with traditional surveying techniques, vehicle-based mobile light detection and ranging (LiDAR) systems can be used to estimate material volumes needed for pavement rehabilitation and resurfacing in a cost-efficient manner. An innovative approach based on use of mobile LiDAR data and geographic information system (GIS) analysis was developed to create 3-dimension raster representation of roadway surfaces. The research approach involved conducting a comprehensive technical evaluation of multiple mobile scanning systems to evaluate accuracy and precision of collected raster surfaces and required procedures to calibrate, collect and process LiDAR data. A testbed study site located along a 2.9-mile urban parkway in Anderson, South Carolina was used to investigate accuracy of high resolution raster surface modeling of the roadway paved surface. LiDAR data was collected by five mobile laser scanning (MLS) vendors. MLS data from each vendor was evaluated with regard to accuracy and precision of the raster surfaces. The resultant surfaces were compared between vendors and with a raster surface created from profile and 100-ft. cross section data obtained from traditional surveying methods. LiDAR produced more precise surface data and pavement material estimates as compared with traditional survey data averaged linearly over 100-ft increments. In comparing LiDAR data between compliant MLS vendors, average raster cell height differences averaged 0.21 inches, ranging from 0.01 to 0.63 inches, indicating LiDAR data has considerable potential for creating accurate pavement material volume estimates.

Supplemental Notes:

This paper was sponsored by TRB committee AFD20 Standing Committee on Pavement Condition Evaluation.

Report/Paper Numbers:

18-06403

Language:

English

Authors:

Famili, Afshin
Sarasua, Wayne A
Shams, Alireza
Davis, William J
Ogle, Jennifer H
Putman, Bradley J
Brown, Kweku
Cassule, Leonildo
Mammadrahimli, Adika

Pagination:

7p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; References; Tables

Geographic Terms:

Anderson (South Carolina)

Subject Areas:

Data and Information Technology; Highways; Maintenance and Preservation; Materials; Pavements

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-06403

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:39AM