複数道路リンクの特徴空間共有による交通情報予測モデルの小型化 [in Japanese] Data Reduction of Traffic Information Forecast Model Performed by Multi-link Shared Feature Space Projection [in Japanese]
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This paper discusses an extended method of "Feature Space Forecast Method" which we proposed before. When we forecast traffic information, we have to consider various factors such as days, seasons, holidays, and so on. Furthermore, for nation-wide forecast services, the number of road links handled by a forecast model reaches more than 0.1 million. Therefore, in order to provide accurate nation-wide services, a forecast method that can efficiently deal with a large amount of traffic data is required. The proposed method achieves an efficient forecast process with a small forecast model that is one-tenth as large as that of traditional methods, by performing forecasting calculation in the feature space shared by multiple road links.
- IEEJ Transactions on Electronics, Information and Systems
IEEJ Transactions on Electronics, Information and Systems 126(8), 1033-1039, 2006-08-01
The Institute of Electrical Engineers of Japan