Modelling Place Visit Probability Sequences during Trajectory Data Gaps Based on Movement History

Modelling Place Visit Probability Sequences during Trajectory Data Gaps Based on Movement History

The acquisition of human trajectories facilitates movement data analytics and location-based services, but gaps in trajectories limit the extent in which many tracking datasets can be utilized. We present a model to estimate place visit probabilities at time points within a gap, based on empirical m...

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Bibliographic Details
Main Authors: Chang Ren, Luliang Tang, Jed Long, Zihan Kan, Xue Yang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:ISPRS International Journal of Geo-Information
Subjects:
human trajectory
missing data
probabilistic time geography
mobility pattern
Online Access:https://www.mdpi.com/2220-9964/10/7/456

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