Increasing Robustness of train diagram using data mining techniques
| Project/Area Number |
24510199
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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 |
Social systems engineering/Safety system
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| Research Institution | Chiba Institute of Technology |
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Principal Investigator |
TOMII Norio 千葉工業大学, 情報科学部, 教授 (50426029)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,590,000 (Direct Cost: ¥4,300,000、Indirect Cost: ¥1,290,000)
Fiscal Year 2014: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2012: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 鉄道 / 遅延 / データマイニング / 決定木 / 相関ルール / ビッグデータ / 列車運行実績 / 遅延対策 / モンテカルロシミュレーション |
|---|
| Outline of Final Research Achievements |
There are increasing complaints from passengers about the delays of trains during rush hours which very often happen. We have tried to explore effective delay reduction measures by applying data mining techniques to the train traffic record data. We have established an algorithm which finds an origin of delays based on the idea of the association rules and an algorithm which explains relationship between drivers’ behavior and the delay of his train.
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Report
(4 results)
Research Products
(28 results)
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[Presentation] 鉄道のダイヤ乱れへの対応2015
Author(s)
富井規雄
Organizer
第132回日本航海学会春季講演会
Place of Presentation
練習船銀河丸（神奈川県横浜市）
Year and Date
2015-05-29
Related Report
Invited
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