Bus line classification using neural networks

Jiménez Alonso, Felipe and Serradilla García, Francisco and Román de Andrés, Alfonso and Naranjo Hernandez, Jose Eugenio (2014). Bus line classification using neural networks. "Transportation Research Part D: Transport and Environment", v. 30 (n. null); pp. 32-37. ISSN 1361-9209. https://doi.org/10.1016/j.trd.2014.05.008.

Description

Title: Bus line classification using neural networks
Author/s:
  • Jiménez Alonso, Felipe
  • Serradilla García, Francisco
  • Román de Andrés, Alfonso
  • Naranjo Hernandez, Jose Eugenio
Item Type: Article
Título de Revista/Publicación: Transportation Research Part D: Transport and Environment
Date: July 2014
ISSN: 1361-9209
Volume: 30
Subjects:
Freetext Keywords: Cluster Urban buses Neural network Bootstrap method
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería Mecánica y de Fabricación [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Grouping urban bus routes is necessary when there are evidences of significant differences among them. In Jiménez et al. (2013), a reduced sample of routes was grouped into clusters utilizing kinematic measured data. As a further step, in this paper, the remaining urban bus routes of a city, for which no kinematic measurements are available, are classified. For such purpose we use macroscopic geographical and functional variables to describe each route, while the clustering process is performed by means of a neural network. Limitations caused by reduced training samples are solved using the bootstrap method.

More information

Item ID: 32358
DC Identifier: http://oa.upm.es/32358/
OAI Identifier: oai:oa.upm.es:32358
DOI: 10.1016/j.trd.2014.05.008
Official URL: http://www.sciencedirect.com/science/article/pii/S1361920914000340
Deposited by: Memoria Investigacion
Deposited on: 21 Oct 2014 16:19
Last Modified: 03 Nov 2014 09:39
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