Low-dimensional models for missing data imputation in road networks
Intelligent transport systems (ITS) require data with high spatial and temporal resolution for applications such as modeling, traffic management, prediction and route guidance. However, field data is usually quite sparse. This problem of missing data severely limits the effectiveness of ITS. Missing...
| Main Authors: | , , , , |
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| 其他作者: | |
| 格式: | Article |
| 語言: | en_US |
| 出版: |
Institute of Electrical and Electronics Engineers (IEEE)
2014
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| 在線閱讀: | http://hdl.handle.net/1721.1/86891 https://orcid.org/0000-0002-8585-6566 |