Hidden Markov models for vehicle tracking with Bluetooth

Lees-Miller, John, Wilson, R. Eddie and Box, Simon (2013) Hidden Markov models for vehicle tracking with Bluetooth. Proceedings of the Transportation Research Board 92nd Annual Meeting, Washington, United States. 13 - 17 Jan 2013. 14 pp .

Record type: Conference or Workshop Item (Paper)

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.

Text

bluetoothHMM.pdf - Other

Download (521kB)

More information

Published date: January 2013

Additional Information: Paper was sponsored by TRB committee ABJ35 Highway Traffic Monitoring

Venue - Dates: Proceedings of the Transportation Research Board 92nd Annual Meeting, Washington, United States, 2013-01-13 - 2013-01-17

Related URLs:

http://trid.trb.org/view.aspx?id=1241797

Keywords: bluetooth technology, global positioning system, markov processes, pattern recognition systems, traffic surveillance, vehicle to roadside communications, vehicles

Organisations: Faculty of Engineering and the Environment