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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 At Proceedings of the Transportation Research Board 92nd Annual Meeting, United States. 13 - 17 Jan 2013. 14 pp.

Record type: Conference or Workshop Item (Paper)


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.

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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, United States, 2013-01-13 - 2013-01-17
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


Local EPrints ID: 363666
PURE UUID: 7afa6d5e-1589-49b4-be2a-42e6733c9948

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Date deposited: 31 Mar 2014 08:02
Last modified: 18 Jul 2017 02:37

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Author: John Lees-Miller
Author: R. Eddie Wilson
Author: Simon Box

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