| Project/Area Number |
23710177
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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 |
Social systems engineering/Safety system
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| Research Institution | Sugiyama Jogakuen University |
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Principal Investigator |
MUKAI Naoto 椙山女学園大学, 文化情報学部, 講師 (30453822)
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| Project Period (FY) |
2011 – 2012
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2011: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | デマンド型交通 / タクシープローブデータ / 交通ビッグデータ / 交通システム / デマンド交通 / 無線ネットワーク / プローブデータ / 交通シミュレータ / 車両配送問題 |
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| Research Abstract |
The objective of this research is to improve the efficiency of demand-based transportation by using collected information of vehicle and customers via the wireless network. At the beginning, we tried to find a correlation between customer demand and other factors (i.e., time zone, a day of the week, and so on) from taxi probe data in 23 wards of Tokyo. We believe that this result will contribute to improve the assignment of vehicles in the city. Moreover, in order to analyze the collected information via network in real-time, we adopted "Hadoop Map Reduce" which is one of the distributed processing software. We realized the online visualization system for vehicle distribution and vehicle flow by using its technology.
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