| Presentation | 2003/3/20 An analysis from traffic data by using data mining Takanori MIYAKE, Masao SAKAUCHI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we present a prediction method for traffics which is required for intelligent traffic management. To achieve this functinality, our method employs data mining. Data mining is used for automatically extracting meaning information from large amount of data. We prepared numerical data sets given from Metropolitan Expressway such as traffic volume, velocity, occupancy etc. Those data sets are obtained by supersonic sensors. Our method relies on two steps. The first step aligns the data sets to reduce computation costs and to understand data more easily. For instance, it uses a classification of congestions The second step estimates prediction for traffics by using neural networks which is one of data mining method. We attempted several learning parameters and comparing has done. We had some notable results. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | ITS / Data Mining / Traffic Prediction / Metropolitan Expressway |
| Paper # | IT2002-102,ISEC2002-160,SST2002-208,ITS2002-185 |
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| Conference Information | |
| Committee | ISEC |
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| Conference Date | 2003/3/20(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Information Security (ISEC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An analysis from traffic data by using data mining |
| Sub Title (in English) | |
| Keyword(1) | ITS |
| Keyword(2) | Data Mining |
| Keyword(3) | Traffic Prediction |
| Keyword(4) | Metropolitan Expressway |
| 1st Author's Name | Takanori MIYAKE |
| 1st Author's Affiliation | Institute of Industrial Science, The University of Tokyo() |
| 2nd Author's Name | Masao SAKAUCHI |
| 2nd Author's Affiliation | Institute of Industrial Science, The University of Tokyo |
| Date | 2003/3/20 |
| Paper # | IT2002-102,ISEC2002-160,SST2002-208,ITS2002-185 |
| Volume (vol) | vol.102 |
| Number (no) | 744 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |