Future directions in human mobility science

L Pappalardo, E Manley, V Sekara… - Nature computational …, 2023 - nature.com
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 …

A survey on deep learning for human mobility

M Luca, G Barlacchi, B Lepri… - ACM Computing Surveys …, 2021 - dl.acm.org
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 …

Anonymization: The imperfect science of using data while preserving privacy

A Gadotti, L Rocher, F Houssiau, AM Creţu… - Science …, 2024 - science.org
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 …

Large language models empowered agent-based modeling and simulation: A survey and perspectives

C Gao, X Lan, N Li, Y Yuan, J Ding, Z Zhou… - Humanities and Social …, 2024 - nature.com
Agent-based modeling and simulation have evolved as a powerful tool for modeling
complex systems, offering insights into emergent behaviors and interactions among diverse …

Mobility trajectory generation: a survey

X Kong, Q Chen, M Hou, H Wang, F **a - Artificial Intelligence Review, 2023 - Springer
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 …

Controltraj: Controllable trajectory generation with topology-constrained diffusion model

Y Zhu, JJ Yu, X Zhao, Q Liu, Y Ye, W Chen… - Proceedings of the 30th …, 2024 - dl.acm.org
Generating trajectory data is among promising solutions to addressing privacy concerns,
collection costs, and proprietary restrictions usually associated with human mobility …

Urban foundation models: A survey

W Zhang, J Han, Z Xu, H Ni, H Liu… - Proceedings of the 30th …, 2024 - dl.acm.org
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 …

PateGail: a privacy-preserving mobility trajectory generator with imitation learning

H Wang, C Gao, Y Wu, D **, L Yao, Y Li - Proceedings of the AAAI …, 2023 - ojs.aaai.org
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 …

Practical synthetic human trajectories generation based on variational point processes

Q Long, H Wang, T Li, L Huang, K Wang, Q Wu… - Proceedings of the 29th …, 2023 - dl.acm.org
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 …

Activity trajectory generation via modeling spatiotemporal dynamics

Y Yuan, J Ding, H Wang, D **, Y Li - Proceedings of the 28th ACM …, 2022 - dl.acm.org
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 …