An RFID Tag Movement Trajectory Tracking Method Based on Multiple RF Characteristics for Electronic Vehicle...

Area of Science:

• Engineering
• Computer Science
• Transportation Science

Background:

• Intelligent transportation systems (ITS) require accurate vehicle identification and monitoring, especially under high-speed conditions.
• Radio Frequency Identification (RFID) and Electronic Vehicle Identification (EVI) offer continuous, high-accuracy data for traffic analysis and urban planning.

Purpose of the Study:

• To develop an RFID tag motion trajectory tracking method using multiple radio frequency (RF) features for ITS.
• To enhance vehicle positioning and trajectory analysis at critical traffic checkpoints.

Main Methods:

• Proposed an RFID tag motion trajectory tracking method utilizing multiple RF features.
• Analyzed the relationship between Received Signal Strength Indicator (RSSI), phase differences, and driving distances.
• Employed an information weight method to determine feature weights at varying distances.
• Calculated the common area center point for vehicle localization under multi-antenna conditions.

Main Results:

• Achieved an average positioning error of less than 17 cm for moving RFID tags.
• Demonstrated the effectiveness of using dual-frequency signal phase differences and RSSI for accurate tracking.
• Validated the method's capability for real-time, high-precision vehicle positioning.

Conclusions:

• The developed method provides a robust solution for real-time vehicle positioning and trajectory tracking in ITS.
• Applicable to scenarios like parking guidance, autonomous vehicle route monitoring, and lane change detection.
• Significantly improves the accuracy and reliability of vehicle tracking in dynamic traffic environments.