Development of Traffic Diagnosis Model to Support Traffic Control System applying Artificial Intelligence Model
| Project/Area Number |
23760494
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Civil engineering project/Traffic engineering
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| Research Institution | Nihon University |
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Principal Investigator |
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| Project Period (FY) |
2011 – 2013
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2012: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2011: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | 交通工学 / 交通管制 / ベイジアンネットワーク / 車両感知器データ / 交通事故 / 国際研究者交流(香港(予定)) |
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| Research Abstract |
This research investigates to apply Bayesian Network technique to develop Traffic Diagnosis Model which detect traffic congestion caused by incidents on Tokyo Metropolitan Expressway. Especially this research focused to detect traffic congestion caused by traffic accident using traffic detector data with learning past data to estimate conditional probability distributions of occurrence the situation by traffic accident at Yoyogi entrance section on route No. 4 of Tokyo Metropolitan Expressway. The hit ratio of detection of traffic congestion by traffic accident was around 40% which is almost same level of accuracy compared with existing research, but the analysis shows the requirements to improve accuracy of proposed model compared with existing study. And it is also recommended to consider traffic condition of whole of expressway network.
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Report
(3 results)
Research Products
(4 results)
