A Neural Network Model for Urban Traffic Volumes Compression
Traffic data are the information source for traffic control and management. With the development and integration of Intelligent Transportation Systems, many applications and their respective sensors and detectors are a rich source of data about transportation system characteristics and performance....
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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International Institute of Informatics and Cybernetics
2003-08-01
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| Series: | Journal of Systemics, Cybernetics and Informatics |
| Subjects: | |
| Online Access: | http://www.iiisci.org/Journal/CV$/sci/pdfs/002269.pdf
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| _version_ | 1811227630692728832 |
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| author | Xiaoling Ou Yi Zhang Jiangtao Ren Danya Yao |
| author_facet | Xiaoling Ou Yi Zhang Jiangtao Ren Danya Yao |
| author_sort | Xiaoling Ou |
| collection | DOAJ |
| description | Traffic data are the information source for traffic control and management. With the development and integration of Intelligent Transportation Systems, many applications and their respective sensors and detectors are a rich source of data about transportation system characteristics and performance. However, because of the limitation of databases and devices, the huge amounts of traffic data can not be stored without reduction. In this paper, an approach for urban traffic volume compression based on artificial neural network is proposed. The lossy compression of data is realized by using a set of three-layer back-propagation neural networks to remove the correlation within traffic volumes. The model has both a small reproduction error and a relatively high compression ratio. |
| first_indexed | 2024-04-12T09:45:16Z |
| format | Article |
| id | doaj.art-3cc08d04f5194d4287dbff5e91ec8af8 |
| institution | Directory Open Access Journal |
| issn | 1690-4524 |
| language | English |
| last_indexed | 2024-04-12T09:45:16Z |
| publishDate | 2003-08-01 |
| publisher | International Institute of Informatics and Cybernetics |
| record_format | Article |
| series | Journal of Systemics, Cybernetics and Informatics |
| spelling | doaj.art-3cc08d04f5194d4287dbff5e91ec8af82022-12-22T03:37:58ZengInternational Institute of Informatics and CyberneticsJournal of Systemics, Cybernetics and Informatics1690-45242003-08-0114812A Neural Network Model for Urban Traffic Volumes CompressionXiaoling Ou0Yi Zhang1Jiangtao Ren2Danya Yao3 Institute of System Engineering, Department of Automation Institute of System Engineering, Department of Automation Institute of System Engineering, Department of Automation Institute of System Engineering, Department of Automation Traffic data are the information source for traffic control and management. With the development and integration of Intelligent Transportation Systems, many applications and their respective sensors and detectors are a rich source of data about transportation system characteristics and performance. However, because of the limitation of databases and devices, the huge amounts of traffic data can not be stored without reduction. In this paper, an approach for urban traffic volume compression based on artificial neural network is proposed. The lossy compression of data is realized by using a set of three-layer back-propagation neural networks to remove the correlation within traffic volumes. The model has both a small reproduction error and a relatively high compression ratio.http://www.iiisci.org/Journal/CV$/sci/pdfs/002269.pdf Artificial Neural NetworksITSData Compression |
| spellingShingle | Xiaoling Ou Yi Zhang Jiangtao Ren Danya Yao A Neural Network Model for Urban Traffic Volumes Compression Journal of Systemics, Cybernetics and Informatics Artificial Neural Networks ITS Data Compression |
| title | A Neural Network Model for Urban Traffic Volumes Compression |
| title_full | A Neural Network Model for Urban Traffic Volumes Compression |
| title_fullStr | A Neural Network Model for Urban Traffic Volumes Compression |
| title_full_unstemmed | A Neural Network Model for Urban Traffic Volumes Compression |
| title_short | A Neural Network Model for Urban Traffic Volumes Compression |
| title_sort | neural network model for urban traffic volumes compression |
| topic | Artificial Neural Networks ITS Data Compression |
| url | http://www.iiisci.org/Journal/CV$/sci/pdfs/002269.pdf
|
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