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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References
Abe, K., Fujii, H., Yoshimura, S.: Inverse analysis of origin-destination matrix for microscopic traffic simulator. Comput. Model. Eng. Sci. 113(1), 68–85 (2017)
Calabrese, F., Di Lorenzo, G., Liu, L., Ratti, C.: Estimating origin-destination flows using opportunistically collected mobile phone location data from one million users in Boston metropolitan area. IEEE Pervasive Comput. 10(4), 36–44 (2011)
Helbing, D., Farkas, I.J., Molnar, P., Vicsek, T.: Simulation of pedestrian crowds in normal and evacuation situations. Pedestr. Evacuation Dyn. 21(2), 21–58 (2002)
McNally, M.G.: The four-step model. In: Handbook of Transport Modelling, 2nd edn, pp. 35–53. Emerald Group Publishing Limited (2007)
OSM: Openstreetmap. https://openstreetmap.jp/
Savrasovs, M., Pticina, I.: Methodology of OD matrix estimation based on video recordings and traffic counts. Procedia Eng. 178, 289–297 (2017). RelStat-2016: Proceedings of the 16th International Scientific Conference Reliability and Statistics in Transportation and Communication, Transport and Telecommunication Institute, Riga, Latvia, 19–22 October 2016
Sekimoto, Y., Shibasaki, R., Kanasugi, H., Usui, T., Shimazaki, Y.: PFlow: Reconstructing people flow recycling large-scale social survey data. IEEE Pervasive Comput. 10(4), 27–35 (2011)
Shimizu, H., Otsuka, T., Iwata, T., Sawada, H., Ueda, N.: Estimation of agent parameters in crowd simulation. In: The 20th Information-Based Induction Sciences Workshop (IBIS), pp. d2–50 (2017). (in Japanese)
Yamashita, T., Okada, T., Noda, I.: Implementation of simulation environment for exhaustive analysis of huge-scale pedestrian flow. SICE J. Control. Meas. Syst. Integr. 6(2), 137–146 (2013)
Zhang, Y., Roughan, M., Duffield, N., Greenberg, A.: Fast accurate computation of large-scale IP traffic matrices from link loads. In: ACM SIGMETRICS Performance Evaluation Review. vol. 31, pp. 206–217. ACM (2003)
Zhang, Y., Roughan, M., Lund, C., Donoho, D.: An information-theoretic approach to traffic matrix estimation. In: Proceedings of the 2003 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications, SIGCOMM 2003, pp. 301–312. ACM, New York (2003)
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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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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