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Pedestrian-Flow Analysis System for Improving Layout of Exhibitions

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Advances in Spatial and Temporal Databases (SSTD 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9239))

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Abstract

A system for practical pedestrian-track analysis at an actual exhibition is demonstrated. Track data obtained at the exhibition was uploaded to a spatio-temporal database, and the key features of the technical exhibition were determined. New knowledge derived from these features was successfully applied to improve the layout of the next event.

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Author information

Authors and Affiliations

  1. Hitachi Ltd., Center of Technology Innovation - Systems Engineering, Tokyo, Japan

    Akinori Asahara & Nobuo Sato

  2. Hitachi Ltd., Smart Information Systems Division, Information and Telecommunication Systems Company, Tokyo, Japan

    Masatsugu Nomiya

Authors
  1. Akinori Asahara
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  2. Nobuo Sato
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  3. Masatsugu Nomiya
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Corresponding author

Correspondence to Akinori Asahara .

Editor information

Editors and Affiliations

  1. Naval Academy Research Institute, Brest naval, France

    Christophe Claramunt

  2. University of Florida, Gainesville, Florida, USA

    Markus Schneider

  3. Hong Kong University of Science and Technology, Kowloon, Hong Kong

    Raymond Chi-Wing Wong

  4. Emory University, Atlanta, USA

    Li Xiong

  5. Gachon University, Gyeonggi-do, Korea (Republic of)

    Woong-Kee Loh

  6. University of Southern California, Los Angeles, USA

    Cyrus Shahabi

  7. Department of Computer Science, Pusan National University, Pusan, Korea (Republic of)

    Ki-Joune Li

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© 2015 Springer International Publishing Switzerland

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Asahara, A., Sato, N., Nomiya, M. (2015). Pedestrian-Flow Analysis System for Improving Layout of Exhibitions. In: Claramunt, C., et al. Advances in Spatial and Temporal Databases. SSTD 2015. Lecture Notes in Computer Science(), vol 9239. Springer, Cham. https://doi.org/10.1007/978-3-319-22363-6_25

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  • DOI: https://doi.org/10.1007/978-3-319-22363-6_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22362-9

  • Online ISBN: 978-3-319-22363-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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