Urban Origin–Destination Travel Time Estimation Using K-Nearest-Neighbor-Based Methods
Improving the estimation of origin–destination (O-D) travel times poses a formidable challenge due to the intricate nature of transportation dynamics. Current deep learning models often require an overwhelming amount of data, both in terms of data points and variables, thereby limiting their applica...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
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MDPI AG
2024-04-01
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| Schriftenreihe: | Mathematics |
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| Online-Zugang: | https://www.mdpi.com/2227-7390/12/8/1255 |
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