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Interactive 3D Visualization for Monitoring and Analysis of Geographical Traffic Data of Various Domains

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Advances in Visual Computing (ISVC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11844))

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Abstract

Visual interactive tools are of great importance for monitoring and analysis of geographical data, and, in particular, traffic data. Substantial research effort goes into visualization techniques of various kinds of geography-bound traffic data. Unfortunately, such techniques are very domain-specific and often lack useful features. We propose an interactive visualization system for monitoring and analyzing traffic data on a 3D globe. Our system is general and can be transparently used in different domains, which we examplify by two simulated demonstrations of use cases: Logistic Service and Data Communication. Using these examples, we show that our approach is more general than the current state of the art, and that there are significant similarities between several domains in need of interactive visualization, which are mostly treated as completely separate.

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Notes

  1. 1.

    https://developers.google.com/transit/gtfs/.

  2. 2.

    https://tracker.geops.ch/.

  3. 3.

    https://www.khronos.org/gltf/.

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Author information

Authors and Affiliations

  1. Technion, Haifa, Israel

    Daniil Rodin, Oded Shmueli & Gershon Elber

Authors
  1. Daniil Rodin
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  2. Oded Shmueli
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  3. Gershon Elber
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Corresponding author

Correspondence to Daniil Rodin .

Editor information

Editors and Affiliations

  1. University of Nevada, Reno, NV, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, CA, USA

    Richard Boyle

  3. University of Nevada, Reno, NV, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Daniela Ushizima

  6. Latent AI, Palo Alto, CA, USA

    Sek Chai

  7. Texas A&M University, College Station, TX, USA

    Shinjiro Sueda

  8. Louisiana State University, Baton Rouge, LA, USA

    Xin Lin

  9. University of North Carolina at Charlotte, Charlotte, NC, USA

    Aidong Lu

  10. École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

    Daniel Thalmann

  11. Notre Dame University, Notre Dame, IN, USA

    Chaoli Wang

  12. Bosch Research North America, Palo Alto, CA, USA

    Panpan Xu

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Rodin, D., Shmueli, O., Elber, G. (2019). Interactive 3D Visualization for Monitoring and Analysis of Geographical Traffic Data of Various Domains. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2019. Lecture Notes in Computer Science(), vol 11844. Springer, Cham. https://doi.org/10.1007/978-3-030-33720-9_7

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  • DOI: https://doi.org/10.1007/978-3-030-33720-9_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33719-3

  • Online ISBN: 978-3-030-33720-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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