15 citations · 53 across the 19 of their papers we have counts for
5 papers · 1 filter
TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability
Yan Lin, Tonglong Wei, Zeyu Zhou +5
Vehicle trajectories provide valuable movement information that supports various downstream tasks and powers real-world applications. A desirable trajectory learning model should t…
PTrajM: Efficient and Semantic-rich Trajectory Learning with Pretrained Trajectory-Mamba
Yan Lin, Yichen Liu, Zeyu Zhou +5
Vehicle trajectories provide crucial movement information for various real-world applications. To better utilize vehicle trajectories, it is essential to develop a trajectory learn…
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
Xiaowei Mao, Yan Lin, Shengnan Guo +6
Uncertainty quantification in travel time estimation (TTE) aims to estimate the confidence interval for travel time, given the origin (O), destination (D), and departure time (T).…
UniTE: A Survey and Unified Pipeline for Pre-training Spatiotemporal Trajectory Embeddings
Yan Lin, Zeyu Zhou, Yicheng Liu +8
Spatiotemporal trajectories are sequences of timestamped locations, which enable a variety of analyses that in turn enable important real-world applications. It is common to map tr…
TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories
Zeyu Zhou, Yan Lin, Haomin Wen +5
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 acc…