TY - GEN
T1 - An information distribution method for avoiding hunting phenomenon in theme parks
AU - Yamada, Hiroaki
AU - Kamiyama, Naoyuki
N1 - Funding Information:
This research was supported by JST, PRESTO Grant Number JP-MJPR1753, Japan, and Fujitsu Laboratories Ltd. The authors would like to thank Hiroaki Iwashita, Takuya Ohawa, and Kotaro Ohori for useful discussion.
PY - 2020
Y1 - 2020
N2 - In this study, we propose an indirect control method of pedestrian flows in theme parks using congestion forecasts and information distribution. Specifically, we propose a simulation-based algorithm for the problem of finding the optimal information distribution policy of congestion forecasts satisfying user equilibrium conditions.
AB - In this study, we propose an indirect control method of pedestrian flows in theme parks using congestion forecasts and information distribution. Specifically, we propose a simulation-based algorithm for the problem of finding the optimal information distribution policy of congestion forecasts satisfying user equilibrium conditions.
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M3 - Conference contribution
AN - SCOPUS:85096656789
T3 - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
SP - 2050
EP - 2052
BT - Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020
A2 - An, Bo
A2 - El Fallah Seghrouchni, Amal
A2 - Sukthankar, Gita
PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
T2 - 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020
Y2 - 19 May 2020
ER -