TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories

Understand

Spatio-temporal trajectories are crucial in various data mining tasks.

• It is important to develop a versatile trajectory learning method that performs different tasks with high accuracy.
• This involves effectively extracting two core aspects of information--movement patterns and travel purposes--from trajectories.
• However, this is challenging due to limitations in model capacity and the quality and scale of trajectory datasets.