| Project/Area Number |
15K18132
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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 | Nagoya University |
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Principal Investigator |
KANAMORI Ryo 名古屋大学, 未来社会創造機構, 特任准教授 (40509171)
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| Project Period (FY) |
2015-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
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| Keywords | 所要時間分布 / プローブデータ / 粒子ファイル / 交通流シミュレーション / 所要時間 / 粒子フィルタ / 所要時間予測 |
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| Outline of Final Research Achievements |
In this study, it is confirmed that link travel time distributions are different according to the direction of next link (i.e. go straight, turn right or left) , and it is valuable to record the probe vehicle data of each lane. We proposed a method to predict a link travel time by using a historical data, which is modified a particle filtering model, and confirmed its effectiveness. In order to predict a link travel time distribution in urban area, it is necessary to do traffic flow simulation. Therefore, we improved the conventional stochastic cell transmission model for the network consisting of signalized intersections.
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