A physics-informed temporal convolutional network model for vehicle lane-changing trajectory prediction on highways
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Published online on November 12, 2025
Abstract
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
The trajectory prediction of the subject vehicle contributes to the autonomous vehicle’s recognition and evaluation of potentially risky situations in advance, serving as an essential basis for subsequent decision-making and planning. Accurately ...
The trajectory prediction of the subject vehicle contributes to the autonomous vehicle’s recognition and evaluation of potentially risky situations in advance, serving as an essential basis for subsequent decision-making and planning. Accurately ...