DOAJ Open Access 2019

A Study on the Behavior of Clustering Techniques for Modeling Travel Time in Road-Based Mass Transit Systems

Teresa Cristóbal Gabino Padrón Alexis Quesada-Arencibia Francisco Alayón Gabriel de Blasio +1 lainnya

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Abstrak

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 behavior patterns in large data sets to be found. In this contribution, a study on the utility of different clustering techniques to obtain behavior pattern of travel time is presented. The study analyzed three clustering techniques: K-medoid, Diana, and Hclust, studying how two key factors of these techniques (distance metric and clusters number) affect the results obtained. The study was conducted using transport activity data provided by a public transport operator.

Topik & Kata Kunci

General Works

Penulis (6)

Teresa Cristóbal

Gabino Padrón

Alexis Quesada-Arencibia

Francisco Alayón

Gabriel de Blasio

Carmelo R. García

Format Sitasi

APA MLA BibTeX

Cristóbal, T., Padrón, G., Quesada-Arencibia, A., Alayón, F., Blasio, G.d., García, C.R. (2019). A Study on the Behavior of Clustering Techniques for Modeling Travel Time in Road-Based Mass Transit Systems. https://doi.org/10.3390/proceedings2019031018

Akses Cepat

Lihat di Sumber doi.org/10.3390/proceedings2019031018

Informasi Jurnal

Tahun Terbit: 2019
Sumber Database: DOAJ
DOI: 10.3390/proceedings2019031018
Akses: Open Access ✓