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A Survey on Trajectory Data Management, Analytics, and Learning

arXiv 2003.11547 ↗First posted 25 Mar 2020cs.DBcited by 41

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Abstract (arXiv)

Recent advances in sensor and mobile devices have enabled an unprecedented increase in the availability and collection of urban trajectory data, thus increasing the demand for more efficient ways to manage and analyze the data being produced. In this survey, we comprehensively review recent research trends in trajectory data management, ranging from trajectory pre-processing, storage, common trajectory analytic tools, such as querying spatial-only and spatial-textual trajectory data, and trajectory clustering. We also explore four closely related analytical tasks commonly used with trajectory data in interactive or real-time processing. Deep trajectory learning is also reviewed for the first time. Finally, we outline the essential qualities that a trajectory data management system should possess in order to maximize flexibility.

Key facts. Cited by 41 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Mar 2020.

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Citing papers per year: 2021: 1; 2022: 5; 2023: 9; 2024: 18; 2025: 7; 2026: 1.

41 papers.

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  1. 2023Data-centric Artificial Intelligence: A Surveycited by 202
  2. 2023On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligencecited by 88
  3. 2022A Survey of Graph Neural Networks for Social Recommender Systemscited by 65
  4. 2024ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Modelcited by 48
  5. 2024Trajectory Data Management and Mining: A Survey from Deep Learning to the LLM Eracited by 23
  6. 2021Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendationcited by 22
  7. 2023LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Predictioncited by 19
  8. 2024UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Tracescited by 18
  9. 2023ProteusNeRF: Fast Lightweight NeRF Editing using 3D-Aware Image Contextcited by 17
  10. 2022Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecastingcited by 11
  11. 2024MobilityGPT: Enhanced Human Mobility Modeling with a GPT modelcited by 11
  12. 2023APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendationcited by 10
29 more
  1. 2024Self-Supervised Representation Learning for Geospatial Objects: A Surveycited by 8
  2. 2022Addressing the Intra-class Mode Collapse Problem using Adaptive Input Image Normalization in GAN-based X-ray Imagescited by 6
  3. 2024Modeling Temporal Positive and Negative Excitation for Sequential Recommendationcited by 6
  4. 2022Implicit Session Contexts for Next-Item Recommendationscited by 5
  5. 2023AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Predictioncited by 5
  6. 2024Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamicscited by 4
  7. 2024UniTE: A Survey and Unified Pipeline for Pre-training Spatiotemporal Trajectory Embeddingscited by 4
  8. 2024Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendationcited by 4
  9. 2024FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncodercited by 3
  10. 2024A Survey of Distance-Based Vessel Trajectory Clustering: Data Pre-processing, Methodologies, Applications, and Experimental Evaluationcited by 3
  11. 2024Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspectivecited by 3
  12. 2025Diffusion Models in Recommendation Systems: A Surveycited by 3
  13. 2024FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuningcited by 2
  14. 2024VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by Regularizing Unwanted Noisecited by 2
  15. 2025AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networkscited by 2
  16. 2022Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issuecited by 1
  17. 2023Distribution-Based Trajectory Clusteringcited by 1
  18. 2024Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approachcited by 1
  19. 2024TrajLearn: Trajectory Prediction Learning using Deep Generative Modelscited by 1
  20. 2025Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervisioncited by 1
  21. 2025Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendationcited by 1
  22. 2023A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Datacited by 0
  23. 2023Online Sequence Clustering Algorithm for Video Trajectory Analysiscited by 0
  24. 2024Three Pillars Towards Next-Generation Routing Systemcited by 0
  25. 2024PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Modelscited by 0
  26. 2025TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computationcited by 0
  27. 2025Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learningcited by 0
  28. 2025Origin-Conditional Trajectory Encoding: Measuring Urban Configurational Asymmetries through Neural Decompositioncited by 0
  29. 2026Context-Enriched Natural Language Descriptions of Vessel Trajectoriescited by 0