DST-Predict: Predicting Individual Mobility Patterns From Mobile Phone GPS Data

DST-Predict: Predicting Individual Mobility Patterns From Mobile Phone GPS Data

Predicting spatial behaviors of an individual (e.g., frequent visits to specific locations) is important to improve our understanding of the complexity of human mobility patterns, and to capture anomalous behaviors in an individual’s spatial movements, which can be particularly useful in...

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Bibliographic Details
Main Authors: Syed Mohammed Arshad Zaidi, Varun Chandola, Eun-Hye Yoo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Human mobility
deep learning
predictive learning
Online Access:https://ieeexplore.ieee.org/document/9645540/

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