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Title: Pavement Condition Monitoring with Crowdsourced Connected Vehicle Data
Accession Number: 01515973
Record Type: Component
Record URL: Availability: Transportation Research Board Business Office 500 Fifth Street, NW Find a library where document is available Abstract: The Michigan Department of Transportation (DOT) is interested in new technologies to improve transportation asset management (TAM) practices. A central component of TAM is pavement condition and performance assessment. To investigate methods to improve TAM data collection, the Michigan DOT and the Center for Automotive Research researched the potential for connected vehicle data to contribute to pavement condition and performance assessment. This effort included the review, critical analysis, and synthesis of several research reports and pilot projects to determine feasible methods of using connected vehicle data for pavement condition and performance assessment. The scope of connected vehicle data was defined to include data collected by sensors installed on consumer available vehicles and smartphones. The technology to allow for data capture from embedded vehicle systems and smartphones was established, but implementing such practices into TAM had not yet proved to be practical. One possibility for effective pavement data collection was to employ crowdsourcing, with the use of numerous probe vehicles. Crowdsourcing was not a common practice in pavement condition assessment. Using crowdsourced data in existing TAM programs may require innovative methods of data collection, processing, and management. This report concluded that by focusing on consumer available equipment and crowdsourced data, new connected vehicle data–based pavement condition metrics could be used for TAM in 3 to 5 years.
Monograph Title: Data Systems and Asset Management, Including 2014 Thomas B. Deen Distinguished Lecture Monograph Accession #: 01559855
Report/Paper Numbers: 14-4450
Language: English
Authors: Dennis, Eric PaulHong, QiangWallace, RichardTansil, WilliamSmith, MattPagination: pp 31–38
Publication Date: 2014
ISBN: 9780309295529
Media Type: Print
Features: References
(20)
; Tables
(2)
TRT Terms: Identifier Terms: Uncontrolled Terms: Geographic Terms: Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation; Pavements; I61: Equipment and Maintenance Methods
Files: TRIS, TRB, ATRI
Created Date: Jan 27 2014 3:32PM
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