2006 Fiscal Year Final Research Report Summary
Building an ISS for Volcanic Disaster Reduction of Civil Defense
| Project/Area Number |
17560467
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
交通工学・国土計画
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| Research Institution | Muroran Institute of Technology |
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Principal Investigator |
SAITO Kazuo Muroran Institute of Technology, Dept.of Civil eng. Anf Architecture, Professor, 工学部, 教授 (00001222)
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| Co-Investigator(Kenkyū-buntansha) |
TAMURA Tohru Muroran Institute of Technology, Dept.of Civil eng. Anf Architecture, Professor, 工学部, 教授 (80163690)
GOTO Yoshihiko Muroran Institute of Technology, Dept.of Civil eng. Anf Architecture, Associate Professor, 工学部, 助教授 (20221252)
MAEDA Jun Muroran Institute of Technology, Dept.of Civil eng. Anf Architecture, Associate Professor, 工学部, 助教授 (90332478)
YOSHIDA Hideki Muroran Institute of Technology, Dept.of Civil eng. Anf Architecture, Assistant Professor, 工学部, 講師 (70210713)
HIROI Osamu Tokyo University, Interfaculty initative in information Studies Graduate School of Interdisciplinary Information Studies, Professor, 大学院情報学部, 教授 (80092310)
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| Project Period (FY) |
2005 – 2006
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| Keywords | Disaster-Control / Restoration from Damage / Multi Agent Simulation / Generic Emergency plan / Growing Artificial Societies Models |
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| Research Abstract |
The Hanshin-Awaji Earthquake caused tremendous damage and became a turning point in Japan's disaster-control administration. It was taken as an opportunity to review the nation's basic disaster-control plan, and measures to prevent accident damage were added as part of the plan. For quick restoration from damage, Ti is essential for related organizations to exchange information and work in cooperation with each other. There are actually some arguments about the legalization of CALS for disaster prevention and wide-area support agreements among local governments. The purpose of this study was to establish a systematic restoration optimization model by cooperation and to solve a simulated restoration problem. The four main results of this study are as follows;
1) The design method of Multi Agent for a scheduling problem was organized and the application of a Growing Artificial Societies Models to the optimization problem of the restoration process with the cooperation of multiple restoration groups was presented.
2) As a cooperative restoration problem, contrivances used for Multi Agent Simulation were presented so that Multi Agent would always satisfy the combination constraints of restoration groups.
3) As a evaluation model of objective function in the Multi Agent, a model in which "numbers of restoration groups", "restoration materials", "location assignment of restoration groups", "territories", "damage information" and "forms of damage" could be handled freely as variables was established.
4) As a case study, calculation was performed using a improvement of the accuracy of solutions by the ideas of this study was verified.
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Research Products
(4 results)
