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Title:

Hidden Markov Models for Vehicle Tracking with Bluetooth

Accession Number:

01477019

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Bluetooth is a short range communication protocol. Bluetooth-enabled devices can be detected using road-side equipment, and each detected device reports a unique identifier. These unique identifiers can be used to track vehicles through road networks over time. The focus of this paper is on reconstructing the paths of vehicles through a road network using Bluetooth detection data. A method is proposed that uses Hidden Markov Models, which are a well-known tool for statistical pattern recognition. The proposed method is evaluated on a mixture of real and synthetic Bluetooth data with global positioning system (GPS) ground truth, and it outperforms a simple deterministic strategy by a large margin (30%-50%) in this case.

Supplemental Notes:

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

Monograph Accession #:

01470560

Report/Paper Numbers:

13-3032

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Lees-Miller, John D
Wilson, R Eddie
Box, Simon

Pagination:

14p

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; Photos; References

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control

Source Data:

Transportation Research Board Annual Meeting 2013 Paper #13-3032

Files:

TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:37PM