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Improving Route Traffic Estimation by Considering Staying Population

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PRIMA 2018: Principles and Practice of Multi-Agent Systems (PRIMA 2018)

Abstract

Estimating the number of people who travel by a particular route (route traffic) is an important task for multi-agent simulations in the transportation field. Previous studies have used the traffic count to estimate the route traffic. We propose a new method that utilizes the staying population (stay count) in addition to the traffic count. With experiments using synthetic data, we demonstrate that the proposed method achieves a \(19.85 \%\) smaller error rate than the conventional method when the traffic count’s observation is incomplete. In addition, we analyze real-world data.

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Acknowledgements

The authors thank Satoshi Oda and Yoshiyuki Okada of NTT Docomo, INC. for their cooperation with the measurement of the traffic and stay counts at the “YOYOGI CANDLE 2020" event.

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Correspondence to Hitoshi Shimizu .

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Shimizu, H., Matsubayashi, T., Tanaka, Y., Iwata, T., Ueda, N., Sawada, H. (2018). Improving Route Traffic Estimation by Considering Staying Population. In: Miller, T., Oren, N., Sakurai, Y., Noda, I., Savarimuthu, B.T.R., Cao Son, T. (eds) PRIMA 2018: Principles and Practice of Multi-Agent Systems. PRIMA 2018. Lecture Notes in Computer Science(), vol 11224. Springer, Cham. https://doi.org/10.1007/978-3-030-03098-8_50

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  • DOI: https://doi.org/10.1007/978-3-030-03098-8_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03097-1

  • Online ISBN: 978-3-030-03098-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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