SE-STDGNN: A Self-Evolving Spatial-Temporal Directed Graph Neural Network for Multi-Vehicle Trajectory Prediction
Vehicle trajectory prediction (VTP) is essential for microscopic traffic risk assessment, autonomous vehicle navigation, and traffic behavior analysis. Related research leveraging learning-based methodologies has yielded notable success on various benchmark trajectory datasets. However, these models