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

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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))

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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.

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References

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

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  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)

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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
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  2. Yuki Ohira
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  3. Akira Ishii
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  4. Yasuko Kawahata
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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

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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

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