Vehicle Localization Using Doppler Shift and Time of Arrival Measurements in a Tunnel Environment
Most applications and services of Cooperative Intelligent Transport Systems (C-ITS) rely on accurate and continuous vehicle location information. The traditional localization method based on the Global Navigation Satellite System (GNSS) is the most commonly used. However, it does not provide reliable, continuous, and accurate positioning in all scenarios, such as tunnels. Therefore, in this work, the authors present an algorithm that exploits the existing Vehicle-to-Infrastructure (V2I) communication channel that operates within the LTE-V frequency band to acquire in-tunnel vehicle location information. The authors propose a novel solution for vehicle localization based on Doppler shift and Time of Arrival measurements. Measurements performed in the Beveren tunnel in Antwerp, Belgium, are used to obtain results. A comparison between estimated positions using Extended Kalman Filter (EKF) on Doppler shift measurements and individual Kalman Filter (KF) on Doppler shift and Time of Arrival measurements is carried out to analyze the filtering methods performance. Findings show that the EKF performs better than KF, reducing the average estimation error by 10 m, while the algorithm accuracy depends on the relevant RF channel propagation conditions and other in-tunnel-related environment knowledge included in the estimation. The proposed solution can be used for monitoring the position and speed of vehicles driving in tunnel environments.
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- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/14248220
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Supplemental Notes:
- © Rreze Halili et al.
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Authors:
- Halili, Rreze
- BniLam, Noori
- Yusuf, Marwan
- Tanghe, Emmeric
- Joseph, Wout
- Weyn, Maarten
- Berkvens, Rafael
- Publication Date: 2022
Language
- English
Media Info
- Media Type: Digital/other
- Pagination: 847
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Serial:
- Sensors
- Volume: 22
- Issue Number: 3
- Publisher: MDPI AG
- ISSN: 1424-8220
- Serial URL: http://www.mdpi.com/journal/sensors
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Automatic vehicle monitoring; Doppler shift; Intelligent transportation systems; Kalman filtering; Tunnels; Vehicle to infrastructure communications
- Geographic Terms: Antwerp (Belgium)
- Subject Areas: Bridges and other structures; Data and Information Technology; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01836966
- Record Type: Publication
- Files: TRIS
- Created Date: Feb 25 2022 8:51AM