| Project/Area Number |
25420535
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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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 |
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| Co-Investigator(Kenkyū-buntansha) |
兵藤 哲朗 東京海洋大学, 学術研究院, 教授 (40218748)
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| Research Collaborator |
HOSSAIN Moinul
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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 |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2015: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2014: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | 交通事故 / 都市高速道路 / リアルタイム / 国際研究者交流 / リアルタイム交通事故予測 / ベイジアンネットワーク |
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| Outline of Final Research Achievements |
In this research, we develop a real-time crash prediction and prevention system for urban expressways that can detect traffic conditions that are likely to occur in real time in traffic accidents, and can select and implement prevention measures highly effective in improving traffic conditions. With regard to the crash prediction system, we introduced Dynamic Bayesian Network to improve the prediction performance of the real-time crash prediction model, and the expectation maximization algorithm and adaptive algorithm to improve the robustness of the model. With regard to the crash prevention system, we developed a system that can examine the effect of improving traffic conditions by vehicle control on the whole route, using the real-time crash prediction and prevention system and simulation.
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