Human Mobility Prediction with Calibration for Noisy Trajectories

Human Mobility Prediction with Calibration for Noisy Trajectories

Human mobility prediction is a key task in smart cities to help improve urban management effectiveness. However, it remains challenging due to widespread intractable noises in large-scale mobility data. Based on previous research and our statistical analysis of real large-scale data, we observe that...

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Bibliographic Details
Main Authors: Qing Miao, Min Li, Wenhui Lin, Zhigang Wang, Huiqin Shao, Junwei Xie, Nanfei Shu, Yuanyuan Qiao
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Electronics
Subjects:
human mobility
spatio-temporal prediction
noisy trajectories
neural network
Online Access:https://www.mdpi.com/2079-9292/11/20/3362

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https://www.mdpi.com/2079-9292/11/20/3362

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