Bottleneck analysis on logistics system under disaster condition
Project/Area Number |
16H03157
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Natural disaster / Disaster prevention science
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Research Institution | National Institute of Maritime, Port and Aviation Technology |
Principal Investigator |
Majima Takahiro 国立研究開発法人海上・港湾・航空技術研究所, その他部局等, 研究員 (30392690)
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Co-Investigator(Kenkyū-buntansha) |
高玉 圭樹 電気通信大学, 大学院情報理工学研究科, 教授 (20345367)
渡部 大輔 東京海洋大学, 学術研究院, 准教授 (30435771)
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Project Period (FY) |
2016-04-01 – 2019-03-31
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Project Status |
Completed (Fiscal Year 2018)
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Budget Amount *help |
¥17,290,000 (Direct Cost: ¥13,300,000、Indirect Cost: ¥3,990,000)
Fiscal Year 2018: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2017: ¥6,240,000 (Direct Cost: ¥4,800,000、Indirect Cost: ¥1,440,000)
Fiscal Year 2016: ¥6,630,000 (Direct Cost: ¥5,100,000、Indirect Cost: ¥1,530,000)
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Keywords | 輸送シミュレータ / 輸送システム / ネットワーク / 災害 / 防災 / 人道支援 / 災害時輸送シミュレータ / 輸送 / 災害時物資輸送シミュレータ / シミュレータ |
Outline of Final Research Achievements |
We developed a simulation system with multi agent system for multimodal transportation under disaster situations, which enable to represent transfer operation at transport depots, such as from ship to truck. An investigation of the record in the past disaster showed that distribution of relief supplies was conducted in accordance with even distribution proportional to the demand of the disaster sites. This result was reflected into the process of agent rule that judge the next delivery destination. In bottleneck analysis for the disaster transportation system, we developed methods with input parameters for the simulator to estimate the transport depots where waiting queue is likely to occur. Moreover, the agent of the simulation system was improved to detect the waiting queue and realize the behavior to avoid the waiting in the queue.
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Academic Significance and Societal Importance of the Research Achievements |
大規模災害における救援物資輸送は、混乱を繰り返している。各自治体は、災害時の物資輸送に関する体制を考慮して、防災計画に反映しているが、その計画は、輸送に係る個別の要素についての準備、計画であり、トータルシステムとして捉えた計画ではない。このため、どの程度の輸送量が確保できるのか、また、ボトルネックがどこにあるのか、把握出来ていない。 本件では、災害時物資輸送シミュレータ、および、輸送体制のボトルネック解析手法を研究開発し、社会的意義が大きい。また、災害時特有の平等な物資配分を一義的に考慮する問題設定は、これまでに無い新たな解析条件となり、学術的にも意義ある成果となる。
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Report
(4 results)
Research Products
(55 results)
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[Journal Article] Multi-Agent Cooperation Based on Reinforcement Learning with Internal Reward in Maze Problem2018
Author(s)
Uwano, F., Tatebe, N., Nakata, M., Tajima, Y., Kovacs, T., and Takadama, K.
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Journal Title
SICE Journal of Control, Measurement, and System Integration (JCMSI)
Volume: to appear
Related Report
Peer Reviewed / Open Access / Int'l Joint Research
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[Journal Article] Multi-agent based Bus Route Optimization for Restricting Passenger Traffic Bottlenecks in Disaster Situations2016
Author(s)
Morimoto, S., Jinba, T., Kitagawa, H., Takadama, K., Majima, T., Watanabe, D., and Katuhara, M.
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Journal Title
International Journal of Automation and Logistics (IJAL)
Volume: 2
Issue: 1/2
Pages: 153-177
DOI
Related Report
Peer Reviewed / Acknowledgement Compliant
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[Presentation] Bat Algorithm with Dynamic Niche Radius for Multimodal Optimization2019
Author(s)
Iwase, T., Takano, R., Uwano, F., Sato, H., and Takadama, K.
Organizer
The 3rd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2019)
Related Report
Int'l Joint Research
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[Presentation] Searching multiple local optimal solutions in Multimodal Function by Bat Algorithm based on Novelty Search2017
Author(s)
Iwase, T., Takano, R., Uwano, F., Umenai, Y., Sato, H., and Takadama, K.
Organizer
進化計算学会,第11回進化計算シンポジウム 2017
Related Report
Int'l Joint Research
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[Presentation] A Modified Cuckoo Search Algorithm for Dynamic Optimization Problem2016
Author(s)
Umenai, Y., Uwano, F., Tajima, Y., Nakata, M., Sato, H., and Takadama, K.
Organizer
IEEE World Congress on Computational Intelligence (WCCI 2016)
Place of Presentation
Vancouver, Canada
Year and Date
2016-07-26
Related Report
Int'l Joint Research
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