Map-Informed Trajectory Recovery With Adaptive Spatio-Temporal Autoencoder

The recovery of coarsely sampled trajectories considering the road network topology characteristics is a crucial task for many downstream applications in intelligent transportation systems. Existing approaches in this domain primarily focus on extracting spatio-temporal correlations for the observed...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems 2024-10, p.1-14
Hauptverfasser:	Ye, Yongchao, Wang, Ao, Zeb, Adnan, Zhang, Shiyao, Yu, James Jianqiao
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation models Correlation Data mining Data models Deep learning Feature extraction missing data Network topology road network Roads spatio-temporal modeling Topology Trajectory Trajectory recovery
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