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 …
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 …
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 …
Regularity and conformity: Location prediction using heterogeneous mobility data
Mobility prediction enables appealing proactive experiences for location-aware services and
offers essential intelligence to business and governments. Recent studies suggest that …
offers essential intelligence to business and governments. Recent studies suggest that …
Multi-hop mobility prediction
Z Yu, Z Yu, Y Chen - Mobile Networks and Applications, 2016 - Springer
With the occurrence of large-scale human trajectories, which imply spatial and temporal
patterns, the subject of mobility prediction has been widely studied. A number of approaches …
patterns, the subject of mobility prediction has been widely studied. A number of approaches …
Group-based recurrent neural network for human mobility prediction
S Ke, M Xie, H Zhu, Z Cao - Neural Computing and Applications, 2022 - Springer
Human mobility prediction is of great significance for analyzing the check-in data generated
by location-based applications. Compared with classical prediction methods, recently …
by location-based applications. Compared with classical prediction methods, recently …
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 …
Revealing an inherently limiting factor in human mobility prediction
L Amichi, AV Carneiro, M Crovella… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Predicting how humans move within space and time is a central topic in many scientific
domains such as epidemic propagation, urban planning, and ride-sharing. However, current …
domains such as epidemic propagation, urban planning, and ride-sharing. However, current …
Beyond the limits of predictability in human mobility prediction: context-transition predictability
Urban human mobility prediction is forecasting how people move in cities. It is crucial for
many smart city applications including route optimization, preparing for dramatic shifts in …
many smart city applications including route optimization, preparing for dramatic shifts in …
[PDF][PDF] Understanding predictability and exploration in human mobility
Predictive models for human mobility have important applications in many fields including
traffic control, ubiquitous computing, and contextual advertisement. The predictive …
traffic control, ubiquitous computing, and contextual advertisement. The predictive …