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Sensors 2014, 14(3), 4225-4238; doi:10.3390/s140304225

RFID-Based Vehicle Positioning and Its Applications in Connected Vehicles

1
State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
2
Department of Civil and Environmental Engineering, University of Massachusetts, Amherst, MA 01003, USA
*
Author to whom correspondence should be addressed.
Received: 16 December 2013 / Revised: 21 February 2014 / Accepted: 24 February 2014 / Published: 4 March 2014
(This article belongs to the Section Physical Sensors)
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Abstract

This paper proposed an RFID-based vehicle positioning approach to facilitate connected vehicles applications. When a vehicle passes over an RFID tag, the vehicle position is given by the accurate position stored in the tag. At locations without RFID coverage, the vehicle position is estimated from the most recent tag location using a kinematics integration algorithm till updates from the next tag. The accuracy of RFID positioning is verified empirically in two independent ways with one using radar and the other a photoelectric switch. The former is designed to verify whether the dynamic position obtained from RFID tags matches the position measured by radar that is regarded as accurate. The latter aims to verify whether the position estimated from the kinematics integration matches the position obtained from RFID tags. Both means supports the accuracy of RFID-based positioning. As a supplement to GPS which suffers from issues such as inaccuracy and loss of signal, RFID positioning is promising in facilitating connected vehicles applications. Two conceptual applications are provided here with one in vehicle operational control and the other in Level IV intersection control.
Keywords: RFID; vehicle positioning; connected vehicle technology RFID; vehicle positioning; connected vehicle technology
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Wang, J.; Ni, D.; Li, K. RFID-Based Vehicle Positioning and Its Applications in Connected Vehicles. Sensors 2014, 14, 4225-4238.

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