Wireless Accelerometer-Based Automatic Vehicle Classification Prototype System
Automatic Vehicle Classification (AVC) systems provide data about vehicle classes that are used for many purposes. This paper describes a prototype axle count and spacing-based AVC system using wireless accelerometers and magnetometers. The accelerometers detect vehicle axles and the magnetometers report vehicle arrivals and departures and estimate speed. The prototype system is installed on I-80 at Pinole, CA and tested under various traffic conditions. Video images and reports from a nearby commercial Weigh-In-Motion (WIM) station provide ground truth to evaluate the performance of the system, including classification, axle spacing and vehicle counts. The results show the prototype AVC system is reliable in classifying vehicles even under congested traffic with 99% accuracy.
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Supplemental Notes:
- This paper was sponsored by TRB committee ABJ35 Highway Traffic Monitoring.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Ma, Wenteng
- Xing, Daniel
- McKee, Adam
- Bajwa, Ravneet
- Flores, Christopher
- Fuller, Brian
- Varaiya, Pravin P
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Conference:
- Transportation Research Board 92nd Annual Meeting
- Location: Washington DC, United States
- Date: 2013-1-13 to 2013-1-17
- Date: 2013
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 16p
- Monograph Title: TRB 92nd Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Automatic vehicle classification; Axles; Sensors; Weigh in motion; Wireless communication systems
- Subject Areas: Data and Information Technology; Highways; I70: Traffic and Transport;
Filing Info
- Accession Number: 01472340
- Record Type: Publication
- Report/Paper Numbers: 13-2261
- Files: PRP, TRIS, TRB, ATRI
- Created Date: Feb 14 2013 9:27AM