Been there, done that: What your mobility traces reveal about your behavior
Mobility is a central aspect of our life; the locations we visit reflect our tastes and lifestyle and
shape our social relationships. The ability to foresee the places a user will visit is therefore …
shape our social relationships. The ability to foresee the places a user will visit is therefore …
The Hierarchical Clustering of Human Mobility Behaviors
W Jia, K Zhao, S Zhao - IEEE Transactions on Computational …, 2023 - ieeexplore.ieee.org
Human mobility flow prediction forecasts the number of passengers coming into (inflows) or
leaving from (outflows) every region of a city. It is crucial for many applications such as …
leaving from (outflows) every region of a city. It is crucial for many applications such as …
Where are you going next? A practical multi-dimensional look at mobility prediction
Understanding and predicting mobility are essential for the design and evaluation of future
mobile edge caching and networking. Consequently, research on human mobility prediction …
mobile edge caching and networking. Consequently, research on human mobility prediction …
MIAC: A mobility intention auto‐completion model for location prediction
F Yi, G Feng, H Wang, Z Li, L Sun - Intelligent Systems in …, 2018 - Wiley Online Library
Location prediction is essential to many commercial applications and enables appealing
experience for business and governments. Many research work show that human mobility is …
experience for business and governments. Many research work show that human mobility is …
Context-aware deep model for joint mobility and time prediction
Mobility prediction, which is to predict where a user will arrive based on the user's historical
mobility records, has attracted much attention. We argue that it is more useful to know not …
mobility records, has attracted much attention. We argue that it is more useful to know not …
Urban human mobility: Data-driven modeling and prediction
Human mobility is a multidisciplinary field of physics and computer science and has drawn a
lot of attentions in recent years. Some representative models and prediction approaches …
lot of attentions in recent years. Some representative models and prediction approaches …
Analyzing movement predictability using human attributes and behavioral patterns
The ability to predict human mobility, ie, transitions between a user's significant locations
(the home, workplace, etc.) can be helpful in a wide range of applications, including targeted …
(the home, workplace, etc.) can be helpful in a wide range of applications, including targeted …
Individual mobility prediction: an interpretable activity-based hidden markov approach
Individual mobility is driven by demand for activities with diverse spatiotemporal patterns, but
existing methods for mobility prediction often overlook the underlying activity patterns. To …
existing methods for mobility prediction often overlook the underlying activity patterns. To …
Location prediction through activity purpose: integrating temporal and sequential models
Based on the growing popularity of smart mobile devices, location-aware services become
indispensable in human daily life. Location prediction makes these services more intelligent …
indispensable in human daily life. Location prediction makes these services more intelligent …
Explaining human mobility predictions through a pattern matching algorithm
Understanding what impacts the predictability of human movement is a key element for the
further improvement of mobility prediction models. Up to this day, such analyses have been …
further improvement of mobility prediction models. Up to this day, such analyses have been …