Towards robust trajectory similarity computation: Representation-based spatio-temporal similarity...

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Deep learning for trajectory data management and mining: A survey and beyond

W Chen, Y Liang, Y Zhu, Y Chang, K Luo… - arxiv preprint arxiv …, 2024 - arxiv.org
Trajectory computing is a pivotal domain encompassing trajectory data management and
mining, garnering widespread attention due to its crucial role in various practical …
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A survey of distance-based vessel trajectory clustering: Data pre-processing, methodologies, applications, and experimental evaluation

M Liang, RW Liu, R Gao, Z **ao, X Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
Vessel trajectory clustering, a crucial component of the maritime intelligent transportation
systems, provides valuable insights for applications such as anomaly detection and …
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Sttraj2vec: A spatio-temporal trajectory representation learning approach

J Zhu, X Niu, F Li, Y Wang, P Fournier-Viger… - Knowledge-Based …, 2024 - Elsevier
Computing trajectory similarity plays a critical role in various spatio-temporal applications
that involve trajectory analysis. In recent years, trajectory representation learning has been …
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Self-supervised Learning for Geospatial AI: A Survey

Y Chen, W Huang, K Zhao, Y Jiang, G Cong - arxiv preprint arxiv …, 2024 - arxiv.org
The proliferation of geospatial data in urban and territorial environments has significantly
facilitated the development of geospatial artificial intelligence (GeoAI) across various urban …
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Relaxed group pattern detection over massive-scale trajectories

K Li, H Wang, Z Chen, L Chen - Future Generation Computer Systems, 2023 - Elsevier
The problem of detecting co-movement patterns from trajectories has been extensively
studied by data science community. Existing methods are based on filter-and-refine …
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UniTE: A Survey and Unified Pipeline for Pre-Training Spatiotemporal Trajectory Embeddings

Y Lin, Z Zhou, Y Liu, H Lv, H Wen, T Li… - … on Knowledge and …, 2024 - ieeexplore.ieee.org
Spatiotemporal trajectories are sequences of timestamped locations, which enable a variety
of analyses that in turn enable important real-world applications. It is common to map …
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Trajectory Similarity Measurement: An Efficiency Perspective

Y Chang, E Tanin, G Cong, CS Jensen, J Qi - arxiv preprint arxiv …, 2023 - arxiv.org
Trajectories that capture object movement have numerous applications, in which similarity
computation between trajectories often plays a key role. Traditionally, the similarity between …
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Efficient Parallel Processing of Semantic Trajectory Similarity Joins

S Shang, C Huang, L Chen - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Matching similar pairs of trajectories, called trajectory similarity join, is a fundamental
functionality for the Internet of Everything (IoE). We obverse that keyword-augmented …
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UniTE: A Survey and Unified Pipeline for Pre-training ST Trajectory Embeddings

Y Lin, Z Zhou, Y Liu, H Lv, H Wen, T Li, Y Li… - arxiv preprint arxiv …, 2024 - arxiv.org
Spatio-temporal (ST) trajectories are sequences of timestamped locations, which enable a
variety of analyses that in turn enable important real-world applications. It is common to map …
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Trajectory Similarity Measurement With Spatial-Temporal Graph Contrastive Learning for Traffic Networks

S Wang, L Zhang, Y Pan, H Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Trajectory similarity computing enables us to gain deeper insights into the movement
patterns of objects, which benefits intelligent transportation system applications from urban …
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