Analyzing large-scale human mobility data: a survey of machine learning methods and applications

E Toch, B Lerner, E Ben-Zion, I Ben-Gal - Knowledge and Information …, 2019 - Springer
Human mobility patterns reflect many aspects of life, from the global spread of infectious
diseases to urban planning and daily commute patterns. In recent years, the prevalence of …

Data sources and approaches for building occupancy profiles at the urban scale–A review

S Nejadshamsi, U Eicker, C Wang, J Bentahar - Building and Environment, 2023 - Elsevier
Buildings' occupant profiles at the urban scale play an important role in various applications
like Urban Building Energy Modeling (UBEM) and assessing energy consumption patterns …

Next place prediction using mobility markov chains

S Gambs, MO Killijian… - Proceedings of the first …, 2012 - dl.acm.org
In this paper, we address the issue of predicting the next location of an individual based on
the observations of his mobility behavior over some period of time and the recent locations …

Approaching the limit of predictability in human mobility

X Lu, E Wetter, N Bharti, AJ Tatem, L Bengtsson - Scientific reports, 2013 - nature.com
In this study we analyze the travel patterns of 500,000 individuals in Cote d'Ivoire using
mobile phone call data records. By measuring the uncertainties of movements using …

Understanding the tourist mobility using GPS: Where is the next place?

W Zheng, X Huang, Y Li - Tourism Management, 2017 - Elsevier
Understanding the mobility of tourists plays a fundamental role in the administration and
design of tourist destinations, planning of on-site movement and marketing of attractions. In …

The changing usage of a mature campus-wide wireless network

T Henderson, D Kotz, I Abyzov - Proceedings of the 10th annual …, 2004 - dl.acm.org
Wireless Local Area Networks (WLANs) are now commonplace on many academic and
corporate campuses. As" Wi-Fi" technology becomes ubiquitous, it is increasingly important …

Spatio-temporal urban knowledge graph enabled mobility prediction

H Wang, Q Yu, Y Liu, D Jin, Y Li - Proceedings of the ACM on interactive …, 2021 - dl.acm.org
With the rapid development of the mobile communication technology, mobile trajectories of
humans are massively collected by Internet service providers (ISPs) and application service …

{PrivTrace}: Differentially Private Trajectory Synthesis by Adaptive Markov Models

H Wang, Z Zhang, T Wang, S He, M Backes… - 32nd USENIX Security …, 2023 - usenix.org
Publishing trajectory data (individual's movement information) is very useful, but it also
raises privacy concerns. To handle the privacy concern, in this paper, we apply differential …

Big data driven hidden Markov model based individual mobility prediction at points of interest

Q Lv, Y Qiao, N Ansari, J Liu… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
With the emergence of smartphones and location-based services, user mobility prediction
has become a critical enabler for a wide range of applications, like location-based …

[PDF][PDF] Understanding predictability and exploration in human mobility

A Cuttone, S Lehmann, MC González - EPJ Data Science, 2018 - Springer
Predictive models for human mobility have important applications in many fields including
traffic control, ubiquitous computing, and contextual advertisement. The predictive …