A Bi-LSTM approach for modelling movement uncertainty of crowdsourced human trajectories under complex urban environments

A Bi-LSTM approach for modelling movement uncertainty of crowdsourced human trajectories under complex urban environments

Modelling the movement uncertainty of crowdsourced human trajectories in complex urban areas is useful for various human mobility analytics and applications. However, the existing human movement uncertainty modelling approaches only consider the largest movement distance or speed, and fixed sampling...

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Bibliographic Details
Main Authors: Yue Yu, Yepeng Yao, Zhewei Liu, Zhenlin An, Biyu Chen, Liang Chen, Ruizhi Chen
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Movement uncertainty
Crowdsourced human trajectories
Pedestrian motion detection
GNSS
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843223002364

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http://www.sciencedirect.com/science/article/pii/S1569843223002364

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