Future directions in human mobility science
We provide a brief review of human mobility science and present three key areas where we
expect to see substantial advancements. We start from the mind and discuss the need to …
expect to see substantial advancements. We start from the mind and discuss the need to …
A survey on deep learning for human mobility
The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …
such as disease spreading, urban planning, well-being, pollution, and more. The …
Anonymization: The imperfect science of using data while preserving privacy
Information about us, our actions, and our preferences is created at scale through surveys or
scientific studies or as a result of our interaction with digital devices such as smartphones …
scientific studies or as a result of our interaction with digital devices such as smartphones …
Large language models empowered agent-based modeling and simulation: A survey and perspectives
Agent-based modeling and simulation have evolved as a powerful tool for modeling
complex systems, offering insights into emergent behaviors and interactions among diverse …
complex systems, offering insights into emergent behaviors and interactions among diverse …
Mobility trajectory generation: a survey
Mobility trajectory data is of great significance for mobility pattern study, urban computing,
and city science. Self-driving, traffic prediction, environment estimation, and many other …
and city science. Self-driving, traffic prediction, environment estimation, and many other …
Controltraj: Controllable trajectory generation with topology-constrained diffusion model
Generating trajectory data is among promising solutions to addressing privacy concerns,
collection costs, and proprietary restrictions usually associated with human mobility …
collection costs, and proprietary restrictions usually associated with human mobility …
Urban foundation models: A survey
Machine learning techniques are now integral to the advancement of intelligent urban
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …
PateGail: a privacy-preserving mobility trajectory generator with imitation learning
Generating human mobility trajectories is of great importance to solve the lack of large-scale
trajectory data in numerous applications, which is caused by privacy concerns. However …
trajectory data in numerous applications, which is caused by privacy concerns. However …
Practical synthetic human trajectories generation based on variational point processes
Human trajectories, reflecting people's travel patterns and the range of activities, are crucial
for the applications like urban planning and epidemic control. However, the real-world …
for the applications like urban planning and epidemic control. However, the real-world …
Activity trajectory generation via modeling spatiotemporal dynamics
Human daily activities, such as working, eating out, and traveling, play an essential role in
contact tracing and modeling the diffusion patterns of the COVID-19 pandemic. However …
contact tracing and modeling the diffusion patterns of the COVID-19 pandemic. However …