| Project/Area Number |
25249070
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Civil engineering project/Traffic engineering
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
Asakura Yasuo 東京工業大学, 環境・社会理工学院, 教授 (80144319)
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| Co-Investigator(Kenkyū-buntansha) |
羽藤 英二 東京大学, 工学(系)研究科(研究院), 教授 (60304648)
山本 俊行 名古屋大学, 学内共同利用施設等, 教授 (80273465)
井料 隆雅 神戸大学, 工学(系)研究科(研究院), 教授 (10362758)
日下部 貴彦 東京工業大学, 理工学研究科, 助教 (80604610)
吉井 稔雄 愛媛大学, 理工学研究科, 教授 (90262120)
桑原 雅夫 東北大学, 情報科学研究科, 教授 (50183322)
中山 晶一朗 金沢大学, 環境デザイン学系, 教授 (90334755)
圓山 琢也 熊本大学, 政策創造研究教育センター, 准教授 (20361529)
赤松 隆 東北大学, 情報科学研究科, 教授 (90262964)
多々納 裕一 京都大学, 防災研究所, 教授 (20207038)
福田 大輔 東京工業大学, 理工学研究科, 准教授 (70334539)
長江 剛志 東北大学, 工学(系)研究科(研究院), 准教授 (30379482)
高山 雄貴 金沢大学, 環境デザイン学系, 准教授 (90612648)
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| Project Period (FY) |
2013-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥44,330,000 (Direct Cost: ¥34,100,000、Indirect Cost: ¥10,230,000)
Fiscal Year 2016: ¥10,010,000 (Direct Cost: ¥7,700,000、Indirect Cost: ¥2,310,000)
Fiscal Year 2015: ¥12,220,000 (Direct Cost: ¥9,400,000、Indirect Cost: ¥2,820,000)
Fiscal Year 2014: ¥10,530,000 (Direct Cost: ¥8,100,000、Indirect Cost: ¥2,430,000)
Fiscal Year 2013: ¥11,570,000 (Direct Cost: ¥8,900,000、Indirect Cost: ¥2,670,000)
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| Keywords | ネットワーク / 交通工学 / 減災 / 移動体通信 / 交通ネットワーク / 交通行動分析 / 交通流理論 / リスクマネジメント |
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| Outline of Final Research Achievements |
Our modern society has required dynamic risk management for transport network to minimize the negative effects of a system failure caused by traffic incident and/or natural disaster. This study aims to establish theoretical basis of advanced travel behaviour analysis and transport network analysis for dynamic risk management of transport network. Four years research with 14 researchers has achieved to develop advanced methods in travel behaviour survey based on the Probe Person survey, and to establish dynamic network traffic flow analysis methods by utilizing travel and traffic data with higher resolution. We have contributed to investigate fundamental theories on dynamic risk management of transport networks incorporating advanced travel behaviour models into dynamic network flow models. As a part of research activities, some of the research members organized three international symposiums in the field of traffic and transport theories in 2015 and 2017.
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