Trajectory modeling refers to characterizing human movement behavior, serving as a pivotal step in understanding mobility patterns. Nevertheless, existing studies typically ignore the …
Many of today's data is time-series data originating from various sources, such as sensors, transaction systems, or production systems. Major challenges with such data include privacy …
This paper provides a comprehensive survey of recent advancements in leveraging machine learning techniques, particularly Transformer models, for predicting human mobility …
Y Wang, T Zheng, S Liu, Z Feng, K Chen… - … on Knowledge and …, 2024 - ieeexplore.ieee.org
Human mobility patterns have shown significant applications in policy-decision scenarios and economic behavior researches. The human mobility simulation task aims to generate …
The ability to generate artificial human movement patterns while meeting location and time constraints is an important problem in the security community, particularly as it enables the …