Trajectory prediction dimensionality reduction for low-cost connected automated vehicle systems

Transportation Research Part D: Transport and Environment(2022)

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摘要
•Propose interpretable dimensionality reduction techniques in trajectory prediction.•Piecewise Taylor series approximation and piecewise Fourier series approximation.•Reduce device cost and computing energy consumption by simplifying computation.•Verify the techniques’ effectiveness by comparing them with benchmarks.•Prove the techniques’ robustness against data noises.
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关键词
Dimensionality reduction,Connected automated vehicle,Low-cost systems,Energy consumption,Trajectory prediction,Data noise
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