TY - GEN
T1 - An Effective Multi-UAVs-Based Evacuation Guidance Support for Disaster Risk Reduction
AU - Katayama, Kenta
AU - Takahashi, Hideyuki
AU - Yokota, Nobuhide
AU - Sugiyasu, Kazuya
AU - Kitagata, Gen
AU - Kinoshita, Tetsuo
N1 - Funding Information:
V. CONCLUSION We proposed the function of evacuation guidance support by agent-based multi-UAVs. Then, we confirmed the evacuationguidanceby AVusingthe aferUroueconsiderinsg t some parameter and the cooperative evacuation guidance by multi-UAVs in simulation experiment. Additionally, we confirmed the flight of UAV based on the route selected by agent n ealworld. ir ACKNOWLEGMENT D This work was partially supported by JSPS KAKENHI Grant umbers16K00292, N1KT01anJSPSBilateral oint801d Research Projects/Seminars.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/4/1
Y1 - 2019/4/1
N2 - In recent years, various natural disasters have occurred in various regions of the world. Especially, tsunamis by a big earthquake cause great damage. We have been tackling an evacuation guidance support system by agent-based multi-UAVs for disaster risk reduction. Specifically, software agent generate evacuation guidance plans for UAV, and select the safest plan as the evacuation guidance route considering the disaster situations and the regional characteristics etc. In addition, UAVs provide efficient evacuation guidance support by cooperation of other UAVs. In this paper, we describe the function of selecting the route for UAV and evacuation guidance support by cooperative multi-UAVs. We performed simulation experiments on evacuation guidance based on the safe route selection, and evacuation guidance support by multi-UAVs. Additionally, we also performed an experiment on autonomous flight based on the route selection in real world.
AB - In recent years, various natural disasters have occurred in various regions of the world. Especially, tsunamis by a big earthquake cause great damage. We have been tackling an evacuation guidance support system by agent-based multi-UAVs for disaster risk reduction. Specifically, software agent generate evacuation guidance plans for UAV, and select the safest plan as the evacuation guidance route considering the disaster situations and the regional characteristics etc. In addition, UAVs provide efficient evacuation guidance support by cooperation of other UAVs. In this paper, we describe the function of selecting the route for UAV and evacuation guidance support by cooperative multi-UAVs. We performed simulation experiments on evacuation guidance based on the safe route selection, and evacuation guidance support by multi-UAVs. Additionally, we also performed an experiment on autonomous flight based on the route selection in real world.
KW - Agent
KW - Cooperation
KW - Evacuation Guidance Support
KW - Multi-UAVs
UR - http://www.scopus.com/inward/record.url?scp=85064693268&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85064693268&partnerID=8YFLogxK
U2 - 10.1109/BIGCOMP.2019.8679474
DO - 10.1109/BIGCOMP.2019.8679474
M3 - Conference contribution
AN - SCOPUS:85064693268
T3 - 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings
BT - 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019
Y2 - 27 February 2019 through 2 March 2019
ER -