7 papers
Dynamic Population Distribution Aware Human Trajectory Generation with Diffusion Model
Qingyue Long, Can Rong, Tong Li +1
Human trajectory data is crucial in urban planning, traffic engineering, and public health. However, directly using real-world trajectory data often faces challenges such as privac…
A Unified Model for Human Mobility Generation in Natural Disasters
Qingyue Long, Huandong Wang, Qi Ryan Wang +1
Human mobility generation in disaster scenarios plays a vital role in resource allocation, emergency response, and rescue coordination. During disasters such as wildfires and hurri…
Multi-Scale Diffusion Transformer for Jointly Simulating User Mobility and Mobile Traffic Pattern
Ziyi Liu, Qingyue Long, Zhiwen Xue +2
User mobility trajectory and mobile traffic data are essential for a wide spectrum of applications including urban planning, network optimization, and emergency management. However…
DiffMove: Group Mobility Tendency Enhanced Trajectory Recovery via Diffusion Model
Qingyue Long, Can Rong, Huandong Wang +2
In the real world, trajectory data is often sparse and incomplete due to low collection frequencies or limited device coverage. Trajectory recovery aims to recover these missing tr…
One Fits All: General Mobility Trajectory Modeling via Masked Conditional Diffusion
Qingyue Long, Can Rong, Huandong Wang +1
Trajectory data play a crucial role in many applications, ranging from network optimization to urban planning. Existing studies on trajectory data are task-specific, and their appl…
A Universal Model for Human Mobility Prediction
Qingyue Long, Yuan Yuan, Yong Li
Predicting human mobility is crucial for urban planning, traffic control, and emergency response. Mobility behaviors can be categorized into individual and collective, and these be…