A Prediction Method for Destination Based on the Semantic Transfer Model

With the widespread use of the mobile devices, destination prediction has become an important issue for location-based services (LBSs). Most existing methods are based on various Markov chain models, in which the predicted destinations are trained by historical trajectories. A problem among most of...

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Bibliographic Details
Main Authors: Qilong Han, Dan Lu, Kejia Zhang, Xiaojiang Du, Mohsen Guizani
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8721085/