A Remote Sensing and GIS-Enabled Highway Asset Management System Phase 2

Tsai, Yichang; Wang, Zhaohua; Georgia Institute of Technology

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A Remote Sensing and GIS-Enabled Highway Asset Management System Phase 2

2018-02-02
By Tsai, Yichang ; Wang, Zhaohua

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English

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Creators:

Tsai, Yichang ; Wang, Zhaohua

Tsai, Yichang ; Wang, Zhaohua Less -
Corporate Creators:

Georgia Institute of Technology
Corporate Contributors:

Georgia. Dept. of Transportation. Office of Research ; United States. Federal Highway Administration

Georgia. Dept. of Transportation. Office of Research ; United States. Federal Highway Administration Less -
Subject/TRT Terms:

[+]

3D Laser Asset Management Condition Surveys Cracking Faulting Geographic Information Systems Global Positioning System Laser Radar Marking Mobile LiDAR Pavement Cracking Remote Sensing Spatial Analysis
Publication/ Report Number:

FHWA-GA-17-1210
Resource Type:

Tech Report
Geographical Coverage:

Georgia ; United States

Georgia ; United States Less -
Corporate Publisher:

Georgia. Dept. of Transportation. Office of Research
Abstract:

The objective of this project is to validate the use of commercial remote sensing and spatial information (CRS&SI) technologies, including emerging 3D line laser imaging technology, mobile light detection and ranging (LiDAR), image processing algorithms, and GPS/GIS technologies, to improve transportation asset data collection, condition assessment, and management. The research focuses include the validation of automatic asphalt pavement crack classification, concrete pavement distress detection, pavement marking retroreflectivity condition assessment using mobile LiDAR, and the long-term monitoring of pavement conditions in terms of cracking and rutting. The automatic classification of two major types of cracks, load cracking and block cracking, were comprehensively validated and show very promising results. The detection of concrete pavement distresses, including cracking, faulting, spalling, and shoulder joint distress, were validated using experimental tests conducted on I-516 and I-16. The preliminary study on pavement marking retroreflectivity condition assessment using mobile LiDAR has shown very promising results, though more large-scale tests are needed to include more marking materials. The implementation and applications of the research outcomes have been presented to demonstrate the benefit of this research project. Finally, conclusions are made and recommendations are suggested.
Format:

PDF
Funding:

PI# 0010896
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:58889731d19ad9139e9f73647806ec4aa9ee429b1602c260d6bd678d3e58db1e
Download URL:

https://rosap.ntl.bts.gov/view/dot/34916/dot_34916_DS1.pdf
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A Remote Sensing and GIS-Enabled Highway Asset Management System Phase 2

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