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...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2019-11-01
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| Serie: | Proceedings |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2504-3900/31/1/18 |
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