Estimation of travel contexts from longitudinal behavioural data
| Project/Area Number |
23656318
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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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 | Tokyo Institute of Technology |
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Principal Investigator |
ASAKURA Yasuo 東京工業大学, 大学院・理工学研究科, 教授 (80144319)
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| Co-Investigator(Kenkyū-buntansha) |
IRYO Takamasa 神戸大学, 工学(系)研究科(研究院), 教授 (10362758)
KUSAKABE Takahiko 東京工業大学, 大学院・理工学研究科, 助教 (80604610)
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| Project Period (FY) |
2011 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2012: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2011: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | 交通工学 / 交通行動分析 / 行動ログデータ |
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| Research Abstract |
Recent advances of information technologies enable us to obtain huge and continuous log data on travel behaviour. For example, a survey using GPS equipped mobile phone is often performed. Also the smart card systems used by the payment of transport systems collect huge data on travellers' usage of the transport systems. However, the methodologies of estimating travel contexts from such longitudinal log data are not still established. This study developed the methods to estimate travel contexts from the longitudinal behavioural log data, based on the methods of the natural language processing.
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Report
(3 results)
Research Products
(16 results)
