SSP-DMGTimeNet: Physics-Constrained Learning for Spatiotemporal Trajectory Prediction of Vehicle Platoons
SSP-DMGTimeNet, a physics-constrained learning framework for spatiotemporal trajectory prediction of vehicle platoons, combines multi-scale temporal representations with cross-vehicle interaction features to capture complex and time-varying platoon dynamics.
Yu-Hang Wang, Kai-Lang Ma, Zi-Rui Li et al.
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