An improved method for mobility prediction using a Markov model and density estimation

L Menz, R Herberth, C Luo, F Gauterin… - 2018 IEEE Wireless …, 2018 - ieeexplore.ieee.org
The prediction of an individual's future locations is a significant part of scientific researches.
While a variety of solutions have been investigated for the prediction of future locations …

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 …

[HTML][HTML] A survey on next location prediction techniques, applications, and challenges

AG Chekol, MS Fufa - EURASIP Journal on Wireless Communications and …, 2022 - Springer
Next location prediction has recently gained great attention from researchers due to its
importance in different application areas. Recent growth of location-based service …

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 …

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 …

Mobile user location prediction based on user classification and markov model

Y Li, L Lei, M Yan - … Joint Conference on Information, Media and …, 2019 - ieeexplore.ieee.org
Individual's location has play a very important role in mobile network, predicting user's next
location in advance has a great effect on optimize network resource and improve user …

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' …

Big data driven hidden Markov model based individual mobility prediction at points of interest

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 …

What will you do for the rest of the day? an approach to continuous trajectory prediction

A Sadri, FD Salim, Y Ren, W Shao, JC Krumm… - Proceedings of the …, 2018 - dl.acm.org
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 …

Combining individual travel behaviour and collective preferences for next location prediction

Q Li, D Zou, Y Xu - Transportmetrica A: Transport Science, 2022 - Taylor & Francis
Many mobility prediction models have emerged over the past decade to predict a user's next
location through the utilisation of user trajectories. However, the performance is constrained …