Big data driven hidden Markov model based individual mobility prediction at points of interest
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 …
has become a critical enabler for a wide range of applications, like location-based …
Individual mobility prediction in mass transit systems using smart card data: 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 …
existing methods for mobility prediction often overlook the underlying activity patterns …
A hybrid Markov-based model for human mobility prediction
Human mobility behavior is far from random, and its indicators follow non-Gaussian
distributions. Predicting human mobility has the potential to enhance location-based …
distributions. Predicting human mobility has the potential to enhance location-based …
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 …
[HTML][HTML] Mobility prediction using a weighted Markov model based on mobile user classification
The vast amounts of mobile communication data collected by mobile operators can provide
important insights regarding epidemic transmission or traffic patterns. By analyzing historical …
important insights regarding epidemic transmission or traffic patterns. By analyzing historical …
Semantics-aware hidden Markov model for human mobility
Understanding human mobility benefits numerous applications such as urban planning,
traffic control, and city management. Previous work mainly focuses on modeling spatial and …
traffic control, and city management. Previous work mainly focuses on modeling spatial and …
Mobility prediction: A survey on state-of-the-art schemes and future applications
H Zhang, L Dai - IEEE access, 2018 - ieeexplore.ieee.org
Recently, mobility has gathered tremendous interest as the users' desire for consecutive
connections and better quality of service has increased. An accurate prediction of user …
connections and better quality of service has increased. An accurate prediction of user …
Where to go from here? Mobility prediction from instantaneous information
We present the work that allowed us to win the Next-Place Prediction task of the Nokia
Mobile Data Challenge. Using data collected from the smartphones of 80 users, we explore …
Mobile Data Challenge. Using data collected from the smartphones of 80 users, we explore …
Modeling user activity patterns for next-place prediction
Location has played a very important role in pervasive computing systems. Beyond the
current location, knowing an individual's next location in advance can also enable many …
current location, knowing an individual's next location in advance can also enable many …
What will you do for the rest of the day? an approach to continuous trajectory prediction
Understanding and predicting human mobility is vital to a large number of applications,
ranging from recommendations to safety and urban service planning. In some travel …
ranging from recommendations to safety and urban service planning. In some travel …