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Authors: Shouhei Taga 1 ; Tomohumi Matsuzawa 2 ; Munehiro Takimoto 2 and Yasushi Kambayashi 1

Affiliations: 1 Nippon Institute of Technology, Japan ; 2 Tokyo University of Science, Japan

ISBN: 978-989-758-219-6

Keyword(s): Multi Agent, Mobile Agent, Ant Colony Optimization, Mobile Ad Hoc Network, Contingency Plan, Risk Management.

Related Ontology Subjects/Areas/Topics: Agent Models and Architectures ; Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Autonomous Systems ; Bioinformatics ; Biomedical Engineering ; Collective Intelligence ; Cooperation and Coordination ; Distributed and Mobile Software Systems ; Distributed Problem Solving ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Technologies ; Mobile Agents ; Multi-Agent Systems ; Operational Research ; Simulation ; Software Engineering ; Symbolic Systems

Abstract: We propose a system that supports evacuation after a large-scale disaster. When a large-scale disaster occurs, collecting information by using portable devices is difficult, because communication base stations collapse and traffic congestion occurs. Evacuees are at a loss where they should go for safe places in lack of information. In order to overcome these problems, we have proposed and evaluated a multi-agent system that is built on MANET. Our aim is to let the users share information on MANET, and provide safe routes to the destination by using collected information. In the previous paper, we proposed and implemented the main functions of the proposed system, and performed feasibility study of the multi-agent system by using simple simulator. In this paper, we report the revised system and investigate the relationships between the number of the users and diffusivity of information, and the number of the generated mobile agents by using newly constructed simulator. In the experimen ts for evaluation, we simulated a realistic situation by using real map data and we took stochastic change of the situation into consideration, because the situation must be getting worse by time elapses. (More)

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Paper citation in several formats:
Taga, S.; Matsuzawa, T.; Takimoto, M. and Kambayashi, Y. (2017). Multi-Agent Approach for Evacuation Support System.In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-219-6, pages 220-227. DOI: 10.5220/0006194202200227

@conference{icaart17,
author={Shouhei Taga. and Tomohumi Matsuzawa. and Munehiro Takimoto. and Yasushi Kambayashi.},
title={Multi-Agent Approach for Evacuation Support System},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2017},
pages={220-227},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006194202200227},
isbn={978-989-758-219-6},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Multi-Agent Approach for Evacuation Support System
SN - 978-989-758-219-6
AU - Taga, S.
AU - Matsuzawa, T.
AU - Takimoto, M.
AU - Kambayashi, Y.
PY - 2017
SP - 220
EP - 227
DO - 10.5220/0006194202200227

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