Predictability and prediction of human mobility based on application-collected location data

H Wang, S Zeng, Y Li, D Jin - IEEE Transactions on Mobile …, 2020 - ieeexplore.ieee.org
In the modern information society, analysis of human mobility becomes increasingly
essential in various areas such as city planning and resource management. With users' …

A hybrid Markov-based model for human mobility prediction

Y Qiao, Z Si, Y Zhang, FB Abdesslem, X Zhang, J Yang - Neurocomputing, 2018 - Elsevier
Human mobility behavior is far from random, and its indicators follow non-Gaussian
distributions. Predicting human mobility has the potential to enhance location-based …

Human mobility prediction using sparse trajectory data

H Wang, S Zeng, Y Li, P Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Human mobility prediction techniques are instrumental for many important applications
including service management and city planning. Previous work looks at the inherent …

Regularity and conformity: Location prediction using heterogeneous mobility data

Y Wang, NJ Yuan, D Lian, L Xu, X Xie… - Proceedings of the 21th …, 2015 - dl.acm.org
Mobility prediction enables appealing proactive experiences for location-aware services and
offers essential intelligence to business and governments. Recent studies suggest that …

Crowdsourced mobility prediction based on spatio-temporal contexts

H Pang, P Wang, L Gao, M Tang… - 2016 IEEE …, 2016 - ieeexplore.ieee.org
Accurate mobility prediction is becoming increasingly important in human behavior
research, mainly due to many location-based applications such as mobile social networks …

Pedestrians complex behavior understanding and prediction with hybrid markov chain

M Karimzadeh, Z Zhao, F Gerber… - 2018 14th International …, 2018 - ieeexplore.ieee.org
The prevalence of smartphones equipped with global positioning system has enabled
researchers to excavate users mobility patterns in the cities. The knowledge of users' …

An improved Markov method for prediction of user mobility

Y Cheng, Y Qiao, J Yang - 2016 12th International Conference …, 2016 - ieeexplore.ieee.org
The developments of Information and Communication Technology (ICT) and Internet of
Things (IoT) are being used to enhance quality, performance and interactivity of urban …

Attentional Markov model for human mobility prediction

H Wang, Y Li, D Jin, Z Han - IEEE Journal on Selected Areas in …, 2021 - ieeexplore.ieee.org
Accurate human mobility prediction is important for many applications in wireless networks,
including intelligent content caching and prefetching, network optimization, etc. However …

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 …

Nextroute: a lossless model for accurate mobility prediction

H Amirat, N Lagraa, P Fournier-Viger… - Journal of Ambient …, 2020 - Springer
Mobility prediction of vehicles has become a key feature in mobility management in smart
cities, mobile computing environments, intelligent transportation systems, vehicular …