Sensitivity and Accuracy Assessment of Vehicle Weigh-in-Motion System Measurement Errors Using In-Pavement Strain-Based Sensors
Measuring the weights of passing vehicles at highway speed is an important activity of any intelligent transportation system. Weigh-in-motion (WIM) technology has various applications in highway management, infrastructure investment optimization, law enforcement, and pavement design. The measurement accuracy of a WIM is critically important for some WIM applications such as law enforcement, highway capacity analysis, and pavement design etc. Different from previous work, this study focuses on understanding the relationship between the accuracy of an in-pavement strain-sensor based WIM system and its external contributors such as humidity, temperature, wander behavior and wind speed, which the authors found unclear from literature search. Such research is very important for WIM quality assurance application successes. Since the accuracy of WIM data is highly dependent on many factors, such as temperature, vehicle speeds, precipitation, cross wind speeds, and the evenness of the road surface. In general there are about 0.97% anomalies in vehicle class and 6.42% anomalies in vehicle weight. With that error, a WIM system can underestimate about 90% of truck weights and the degree of underestimation can exceed 50% of the corresponding static weights. The objective of this study is to provide scientific evidences of the systematic sensitivity analysis on the influences of external contributors on the measurement accuracy of a WIM system based on in-pavement strain sensors. The main external contributors to be investigated in this study include air temperature, vehicle wander behavior, air humidity, and wind speed on the measurement accuracy of a WIM system.
Language
- English
Project
- Status: Active
- Funding: $282864
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Contract Numbers:
69A3551747108
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
North Dakota State University
Fargo, ND United States 58108 -
Project Managers:
Tolliver, Denver
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Performing Organizations:
Upper Great Plains Transportation Institute
North Dakota State University
1320 Albrecht Boulevard
Fargo, ND United States 581052 -
Principal Investigators:
Lu, Pan
Tolliver, Denver
- Start Date: 20190416
- Expected Completion Date: 20240731
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
- Source Data: MPC-601
Subject/Index Terms
- TRT Terms: Accuracy; Data collection; Humidity; Sensitivity analysis; Sensors; Strain (Mechanics); Temperature; Vehicle dynamics; Weigh in motion; Wind
- Subject Areas: Data and Information Technology; Highways; Motor Carriers; Pavements;
Filing Info
- Accession Number: 01704399
- Record Type: Research project
- Source Agency: Mountain-Plains Consortium
- Contract Numbers: 69A3551747108
- Files: UTC, RIP
- Created Date: May 4 2019 8:18AM