Trajectory Based

Trajectory-based analysis focuses on understanding and modeling the movement of objects or individuals over time, aiming to extract meaningful patterns and insights from their paths. Current research emphasizes developing robust methods for trajectory generation and recovery, often employing transformer-based architectures and graph neural networks to incorporate spatial context and improve accuracy, while simultaneously addressing privacy concerns through techniques like synthetic data generation. These advancements have significant implications for various applications, including traffic prediction, anomaly detection in crowd behavior and urban planning, and enhancing the efficiency and safety of location-based services.