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.
Highlights
On 3 February 2014, The U.S Department of Transportation’s (DOT) officially announced its decision to move forward with vehicle-to-vehicle communication technology for light vehicles.After decade-long research and experimentation, this decision signifies USDOT’s resolution to transform transportation safety and mobility by allowing cars to ―talk‖ with each other
To address the above limitations, this paper proposes a supplementary yet independent approach, i.e., radio-frequency identification (RFID)-based vehicle positioning, to facilitate connected vehicle applications at critical locations where Global PositioningSystem (GPS) service is unavailable or unreliable
RFID tags are a series of passive RFID tags which are fastened on road surface containing position information, e.g., the distance to a reference point, lane number, and direction of travel
Summary
Intersection safety supporting [4], intersection movement assist, etc In these applications, real-time vehicle positioning is assumed in their algorithms and protocols for motion guidance, operational control, and interaction with other vehicles. GPS-based vehicle positioning begins to show its limitations as connected vehicles are advancing toward real-world implementation and especially when the success of these applications depends heavily on the accuracy of vehicle positioning. These limitations include poor or no signals in certain areas especially urban canyon, and positioning accuracy in a dynamic environment.
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