Investigating How Large Language Models Process Trajectory Data: Formats and Prompting Strategies for Transportation Mode Detection
The effectiveness of large language models in transportation mode detection (TMD) remains underexplored, creating a significant research gap in understanding how these models process trajectory data, and which trajectory formats and prompting strategies best support LLM-based inference in human mobility.