TRB Pubsindex
Text Size:

Title:

Highway Asset and Pavement Condition Management using Mobile Photogrammetry

Accession Number:

01763479

Record Type:

Component

Availability:

Find a library where document is available


Order URL: http://worldcat.org/issn/03611981

Abstract:

Highway asset condition is of the utmost importance for transportation maintenance and pedestrian safety. Transportation facility managers must have up-to-date information on the status of all transportation assets to keep the transportation facilities operating at their highest level. Because of the sheer volume of transportation assets, an efficient and affordable data-collection procedure is necessary to gather the as-is status of the assets and create an asset inventory. Some pioneer departments of transportation in the United States use mobile Light Detection and Ranging (LiDAR) to monitor highway assets and pavement condition data. Not only is the laser scanning equipment expensive, but the operator in charge of using the equipment must have special technical knowledge that may not be accessible to every individual. More recently, image-based reconstruction, known as photogrammetry, has emerged as a cheaper and simpler technology than LiDAR. Image-based 3D reconstruction can be done using a digital camera, such as a digital single-lens reflex camera or even a smartphone. This paper presents a full review of various research studies conducted on highway asset management and pavement condition assessment using spatial data modeling by the use of LiDAR and photogrammetry. This paper also presents two case studies to fill the current research gap in highway asset inventorying using photogrammetry. The results show the superiority of mobile LiDAR for highway asset inventorying and the possibility of having photogrammetry as a reliable alternative technology only in favorable illumination conditions.

Supplemental Notes:

Because of the very large model file sizes, some or all data (i.e., LiDAR and photogrammetry point cloud models) that support the findings of this study are available from the corresponding author on reasonable request. © National Academy of Sciences: Transportation Research Board 2021.

Report/Paper Numbers:

TRBAM-21-01864

Language:

English

Authors:

Farhadmanesh, Mohammad
Cross, Chandler
Mashhadi, Ali H
Rashidi, Abbas
Wempen, Jessica

Pagination:

pp 296-307

Publication Date:

2021-9

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Volume: 2675
Issue Number: 9
Publisher: Sage Publications, Incorporated
ISSN: 0361-1981
EISSN: 2169-4052
Serial URL: http://journals.sagepub.com/home/trr

Media Type:

Digital/other

Features:

Figures; References (33) ; Tables

Subject Areas:

Administration and Management; Data and Information Technology; Highways; Pavements

Files:

TRIS, TRB, ATRI

Created Date:

Dec 23 2020 11:02AM