Abstract
The paper deals with the positioning problem of Micro Intelligent Vehicles (MicroIVs) in Intelligent Transportation Simulation Platforms (ITSPs). We present a practical positioning solution, in which the absolute position data and the relative position data of each MicroIV are fused together via a Kalman filter and an assisted update algorithm. Precisely, each MicroIV gets its absolute position data through an equipped Radio Frequency Identification (RFID) reader which reads the RFID passive tags embedded in the platform. Meanwhile, a Dead Reckoning (DR) method is adopted to calculate the relative position of MicroIV. Then the Kalman filter is designed to fuse the absolute and relative position data. In addition, to compensate occasional RFID reading missing, the assisted update algorithm of the absolute position data is proposed. Experimental evaluation validates the effectiveness of the method.
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