A Universal Model for Human Mobility Prediction

Q Long, Y Yuan, Y Li - arxiv preprint arxiv:2412.15294, 2024 - arxiv.org
Predicting human mobility is crucial for urban planning, traffic control, and emergency
response. Mobility behaviors can be categorized into individual and collective, and these …

Large Language Models are Zero-Shot Next Location Predictors

C Beneduce, B Lepri, M Luca - arxiv preprint arxiv:2405.20962, 2024 - arxiv.org
Predicting the locations an individual will visit in the future is crucial for solving many societal
issues like disease diffusion and reduction of pollution among many others. The models …

Enhancing stop location detection for incomplete urban mobility datasets

M Bertè, R Ibrahimli, L Koopmans, P Valgañón… - arxiv preprint arxiv …, 2024 - arxiv.org
Stop location detection, within human mobility studies, has an impacts in multiple fields
including urban planning, transport network design, epidemiological modeling, and socio …

ST-MoE-BERT: A Spatial-Temporal Mixture-of-Experts Framework for Long-Term Cross-City Mobility Prediction

H He, H Luo, QR Wang - Proceedings of the 2nd ACM SIGSPATIAL …, 2024 - dl.acm.org
Predicting human mobility across multiple cities presents significant challenges due to the
complex and diverse spatial-temporal dynamics inherent in different urban environments. In …

Optimal structures and collective dynamics of human flows in transportation networks.

S Bontorin - 2024 - iris.unitn.it
This thesis explores the dynamical and structural properties of human mobility within urban
environments through the lens of complex systems and network science. Beginning with an …