With the rapid advancement of intelligent connected vehicle technology, ensuring safe and efficient travel in highway weaving areas has become a significant research topic. Traditional trajectory prediction methods inadequately consider real-time traffic situation changes and lack generalizability. Consequently, this study introduces a trajectory prediction method for mixed vehicles in highway weaving areas based on Cyber-Physical Systems (CPS). Moreover, an enhanced Transformer model is employed to model the dynamic spatial interactions between vehicles. The well-trained model is deployed in the cyber layer, and by training with data from the physical layer, it facilitates real-time prediction of manually driven vehicle trajectories. Experimental results demonstrate that compared to prevalent approaches, our method offers more accurate and efficient trajectory prediction in complex weaving area scenarios.
CPS-Based Vehicle Trajectory Prediction in Highway Interchanges under Mixed Traffic Conditions
24th COTA International Conference of Transportation Professionals ; 2024 ; Shenzhen, China
CICTP 2024 ; 131-140
2024-12-11
Conference paper
Electronic Resource
English
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