People Flow Prediction by Multi-Agent Simulator
Author:
Affiliation:
1. NTT Service Evolution Laboratories, NTT Corporation
Publisher
Japanese Society for Artificial Intelligence
Subject
Artificial Intelligence,Software
Link
https://www.jstage.jst.go.jp/article/tjsai/35/2/35_D-wd05/_pdf
Reference4 articles.
1. [Castle 11] Castle, C., Waterson, N., Pellissier, E., and Le Bail, S.: A comparison of grid-based and continuous space pedestrian modelling software: Analysis of two uk train stations, In: Pedestrian and Evacuation Dynamics, pp. 433--446, Springer (2011)
2. [Law 15] Law, K., Stuart, A. and Zygalakis, K.: Data Assimilation: A Mathematical Introduction, Springer, Cham (2015)
3. [Sudo 16] Sudo, A., Kashiyama, T., Yabe, T., Kanasugi, H., Song, X., Higuchi, T., Nakano, S., Saito, M. and Sekimoto, Y.: Particle filter for real-time human mobility prediction following unprecedented disaster, ACM SIGSPATIAL(2016)
4. [Ueda 16] Ueda, N. and Naya, F.: Spatio-temporal multidimensional collective data analysis for providing comfortable living anytime and anywhere, APSIPA Transactions on Signal and Information Processing, Vol. 7, No. 4(2018)
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