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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
Predictive models for human mobility have important applications in many fields including traffic control, ubiquitous computing, and contextual advertisement. The predictive …