Mobility Prediction Using a Weighted Markov Model Based on Mobile User Classification

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 data and extracting user location information, various methods can be used to predict the mobility of mobile users....

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Bibliographic Details
Main Authors: Ming Yan, Shuijing Li, Chien Aun Chan, Yinghua Shen, Ying Yu
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
mobility prediction
weighted Markov model
mobile user
user classification
mobile communication
Online Access:https://www.mdpi.com/1424-8220/21/5/1740

Internet

https://www.mdpi.com/1424-8220/21/5/1740

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