| Title |
RETRACTED: Intelligent Transportation System in Macao Based on Deep Self-Coding Learning (Retracted Article) |
| ID_Doc |
44563 |
| Authors |
Li, DM; Deng, LB; Cai, ZM; Franks, B; Yao, X |
| Title |
RETRACTED: Intelligent Transportation System in Macao Based on Deep Self-Coding Learning (Retracted Article) |
| Year |
2018 |
| Published |
Ieee Transactions On Industrial Informatics, 14, 7 |
| Abstract |
As the basic content of the construction of the intelligent city, the application of intelligent transportation system plays an important role in improving the quality and safety of modern urban traffic operation. Intelligent transportation system combines information technology, data communication technology, electronic sensing technology, global positioning technology, geographic information system technology, computer processing technology, and system engineering technology together reasonably. The intelligent transportation system is a kind of real-time, accurate, efficient, and intelligent transportation management system. In this paper, we introduce the deep code learning technique and apply it to the Macao intelligent system. At the same time, we combine the deep belief network model and support vector regression classifier as the prediction model, and use the deep belief network model to learn traffic flow characteristics. |
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