A heterogeneous ensemble approach for travel time prediction using hybridized feature spaces and support vector regression
Travel time prediction is essential to intelligent transportation systems directly affecting smart cities and autonomous vehicles. Accurately predicting traffic based on heterogeneous factors is highly beneficial but remains a challenging problem. The literature shows significant performance improve...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI
2022
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/42546/1/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/42546/ https://doi.org/10.3390/s22249735 |
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