Presentation | 2004/9/21 Efficient Forecast Process for Nationwide Traffic Information Service Masatoshi KUMAGAI, Takumi FUSHIKI, Takayoshi YOKOTA, Kazuya KIMITA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper discusses about two extended methods of "Feature Space Forecast Method" for long-term traffic information forecasting. The first one is the method which decreases the size of a forecasting database one-tenth as large as that of usual regression analysis, by performing forecast process in the feature space shared by some links. The second one makes the best use of traffic information with a large number of missing data, by applying "Principal Component Analysis with Missing Data" for the process of feature space projection. It provides accurate forecast information even from probe-car data whose 80% of time series is missing. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Traffic Information / Forecasting / Principal Component Analysis / Feature Space / Missing Data |
Paper # | ITS2004-20 |
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Committee | ITS |
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Conference Date | 2004/9/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Intelligent Transport Systems Technology (ITS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Efficient Forecast Process for Nationwide Traffic Information Service |
Sub Title (in English) | |
Keyword(1) | Traffic Information |
Keyword(2) | Forecasting |
Keyword(3) | Principal Component Analysis |
Keyword(4) | Feature Space |
Keyword(5) | Missing Data |
1st Author's Name | Masatoshi KUMAGAI |
1st Author's Affiliation | Hitachi Research Lab., Hitachi Ltd.() |
2nd Author's Name | Takumi FUSHIKI |
2nd Author's Affiliation | Hitachi Research Lab., Hitachi Ltd. |
3rd Author's Name | Takayoshi YOKOTA |
3rd Author's Affiliation | Hitachi Research Lab., Hitachi Ltd. |
4th Author's Name | Kazuya KIMITA |
4th Author's Affiliation | Hitachi Research Lab., Hitachi Ltd. |
Date | 2004/9/21 |
Paper # | ITS2004-20 |
Volume (vol) | vol.104 |
Number (no) | 325 |
Page | pp.pp.- |
#Pages | 8 |
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