A Study on the Behavior of Clustering Techniques for Modeling Travel Time in Road-Based Mass Transit Systems
In road-based mass transit systems, the travel time is a key factor affecting quality of service. For this reason, to know the behavior of this time is a relevant challenge. Clustering methods are interesting tools for knowledge modeling because these are unsupervised techniques, allowing hidden beh...
Tallennettuna:
| Päätekijät: | , , , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI AG
2019-11-01
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| Sarja: | Proceedings |
| Aiheet: | |
| Linkit: | https://www.mdpi.com/2504-3900/31/1/18 |
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