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Title:

Wireless Accelerometer-Based Automatic Vehicle Classification Prototype System
Cover of Wireless Accelerometer-Based Automatic Vehicle Classification Prototype System

Accession Number:

01472340

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

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.

Supplemental Notes:

This paper was sponsored by TRB committee ABJ35 Highway Traffic Monitoring.

Monograph Accession #:

01470560

Report/Paper Numbers:

13-2261

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Ma, Wenteng
Xing, Daniel
McKee, Adam
Bajwa, Ravneet
Flores, Christopher
Fuller, Brian
Varaiya, Pravin P

Pagination:

16p

Publication Date:

2013

Conference:

Transportation Research Board 92nd Annual Meeting

Location: Washington DC, United States
Date: 2013-1-13 to 2013-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Data and Information Technology; Highways; I70: Traffic and Transport

Source Data:

Transportation Research Board Annual Meeting 2013 Paper #13-2261

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:30PM