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Continuous frequent contact detection over moving objects

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Abstract

With the outbreak of COVID-19 pandemic, contact tracing and social distance monitoring have been increasingly popular due to their capability of avoiding the spread of infectious diseases in communities. For the purpose, many studies investigate the contact events among moving objects (e.g., pedestrians, bicycles). In this light, we define the problem of Frequent Contact Detection (FCD) of moving objects on road networks. The FCD problem aims to find all frequent contact events among moving objects in a time period. We develop a two-phase solution, including contact search and frequent contact event discovery, to answer the FCD problem. For contact search, we develop the Search By Neighbor (SBN) framework and a pre-checking strategy to reduce the computation cost and further improve the efficiency of contact search. For frequent contact event discovery, we use categorized contact event set to find the objects that may form frequent contact events. Extensive experiments conducted on the two real datasets confirm the effectiveness and efficiency of our proposed solutions.

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Notes

  1. https://maps.google.com/

  2. https://www.mapquest.com/

  3. https://www.openstreetmap.org

  4. https://lab-work.github.io/data/

  5. https://kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i

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Acknowledgements

This work was supported by the NSFC (U2001212, U22B2037, U21B2046, 62032001, and 61932004)

Funding

This work was supported by the NSFC (U2001212, U22B2037, U21B2046, 62032001, and 61932004)

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Authors and Affiliations

  1. University of Electronic Science and Technology of China, Chengdu/Shenzhen, China

    Junjie Zhang, Jie Yu, Shuo Shang & Lisi Chen

  2. Centre for Frontier AI Research, IHPC, A*STAR, Singapore, Singapore

    Shanshan Feng

Authors
  1. Junjie Zhang
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  2. Jie Yu
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  3. Shuo Shang
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  4. Lisi Chen
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  5. Shanshan Feng
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Contributions

Junjie Zhang: Algorithm design and development, experimental design, implementation, and paper writing. Jie Yu: Paper proofreading and framework design. Shuo Shang: Paper proofreading and framework design. Lisi Chen: Project management, framework design, and experimental design. Shanshan Feng: Paper proofreading and evaluation of methodology. All authors reviewed the manuscript

Corresponding author

Correspondence to Lisi Chen.

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Zhang, J., Yu, J., Shang, S. et al. Continuous frequent contact detection over moving objects. Geoinformatica 28, 271–290 (2024). https://doi.org/10.1007/s10707-023-00501-9

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