A Sensor Fusion Approach to Assess Pavement Condition and Maintenance Effectiveness: [Project Brief]

Bridgelall, Raj; Huang, Ying; Tolliver, Denver; North Dakota State University; Mountain Plains Consortium

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A Sensor Fusion Approach to Assess Pavement Condition and Maintenance Effectiveness: [Project Brief]

2016-01-01
By Bridgelall, Raj ; Huang, Ying ; Tolliver, Denver

[PDF-645.74 KB]

English

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Details:

Creators:

Bridgelall, Raj ; Huang, Ying ; Tolliver, Denver

Bridgelall, Raj ; Huang, Ying ; Tolliver, Denver Less -
Corporate Creators:

North Dakota State University ; Mountain Plains Consortium

North Dakota State University ; Mountain Plains Consortium Less -
Contributors:

Zhang, Zhiming
Corporate Contributors:

United States. Dept. of Transportation. Research and Innovative Technology Administration
Subject/TRT Terms:

[+]

Calibration Condition Surveys Data And Information Technology Data Fusion Highways Inspection Methodology Mobile Communication Systems Pavement Performance Pavements Roughness Sensors
Publication/ Report Number:

MPC 16-306
Resource Type:

Brief
Geographical Coverage:

United States ; North Dakota ; South Dakota ; Utah ; Colorado ; ... More +

United States ; North Dakota ; South Dakota ; Utah ; Colorado ; Wyoming Less -
Edition:

Project Brief
Corporate Publisher:

Mountain Plains Consortium
Abstract:

This research developed an approach to enable smart pavements. The embedded sensors report parameters to determine traffic-loading characteristics, structural health, and the ride quality pavements provide to the traveling public. This technology will enable agencies to remotely monitor pavement assets comprehensively, without regularly deploying expensive field equipment and personnel.
Format:

PDF
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:62e9e14543b598b69e3c276fcd87c8ab802327837c77e97b806c9030dddc0a69
Download URL:

https://rosap.ntl.bts.gov/view/dot/39003/dot_39003_DS1.pdf
File Type:

No Additional Files

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A Sensor Fusion Approach to Assess Pavement Condition and Maintenance Effectiveness: [Project Brief]

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