Skip to main content
SpringerLink
Log in

Proposal of Mathematical Model of Prediction of Human Movement Using Position Information

  • Conference paper
  • First Online:
Proceedings of the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2019)

Part of the book series: Proceedings in Adaptation, Learning and Optimization ((PALO,volume 12))

Included in the following conference series:

  • 299 Accesses

Abstract

Smartphones, which are essential to our lives, contain various types of information. Among them, GPS data is being used for behavior analysis. It is becoming clear that the routine behavior of city dwellers follows a certain pattern, based on preferences and life rhythms, and it is possible to predict traffic congestion by reading these behavior patterns.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Pentland, A.: Social Physics: How Good Ideas Spread—The Lessons from a New Science. Penguin Press, New York (2014)

    Google Scholar 

  2. Kawahata, Y., Moriyama, Y., Yamada, S., Sun, M., Kawamura, T.: Analytical the large-scale collection of data on the results of the guides for Foreigners visiting Japan. In: 2017 IEEE International Conference on Big Data (Big Data), Boston, MA, pp. 4760–4764 (2017)

    Google Scholar 

Download references

Acknowledgements

We would like to thank in particular Yuki Moriyama, Shinichirou Yamada, Mingyi Sun, and Taketo Kawamura from NEC Solution Innovators, Ltd., for access to this valuable data.

Author information

Authors and Affiliations

  1. Graduate School of Sustainability Science, Tottori University, 4-101, Koyama Minami, Tottori, 680-8522, Japan

    Shunsuke Hatadani

  2. Department of Management of Social Systems and Civil Engineering, Tottori University, 4-101, Koyama Minami, Tottori, 680-8522, Japan

    Yuki Ohira

  3. Department of Applied Mathematics and Physics, Tottori University, 4-101, Koyama Minami, Tottori, 680-8522, Japan

    Akira Ishii

  4. Faculty of Social and Information Studies, Gunma University, 4-2 Aramaki-machi, Maebashi, Gunma, 371-0044, Japan

    Yasuko Kawahata

Authors
  1. Shunsuke Hatadani
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yuki Ohira
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Akira Ishii
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yasuko Kawahata
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shunsuke Hatadani .

Editor information

Editors and Affiliations

  1. Department of Computer Science, National Defense Academy of Japan, Yokosuka-shi, Japan

    Hiroshi Sato

  2. Faculty of Maritime Safety Technology, Japan Coast Guard Academy, Wakabacho, Japan

    Saori Iwanaga

  3. Department of Applied Mathematics and Physics, Tottori University, Tottori, Japan

    Akira Ishii

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hatadani, S., Ohira, Y., Ishii, A., Kawahata, Y. (2020). Proposal of Mathematical Model of Prediction of Human Movement Using Position Information. In: Sato, H., Iwanaga, S., Ishii, A. (eds) Proceedings of the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems. IES 2019. Proceedings in Adaptation, Learning and Optimization, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-37442-6_5

Download citation

Publish with us

Policies and ethics

Search

Navigation