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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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Principais autores: Teresa Cristóbal, Gabino Padrón, Alexis Quesada-Arencibia, Francisco Alayón, Gabriel de Blasio, Carmelo R. García
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2019-11-01
Colecção:Proceedings
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Acesso em linha:https://www.mdpi.com/2504-3900/31/1/18
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