arXiv cs.LG
· Papers
Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning
arXiv:2510.14819v3 Announce Type: replace-cross Abstract: Trajectory representation learning (TRL) aims to encode raw trajectory data into low-dimensional embeddings for downstream tasks such as travel time estimation, mobility prediction, and trajectory similarity analysis. From a behavioral perspective, a trajectory