Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Bus line classification using neural networks
Year:2014
Research Areas
  • Artificial intelligence,
  • Electric engineers, electronic and automatic (eil)
Information
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.
International
Si
JCR
Si
Title
Transportation Research Part D: Transport and Environment
ISBN
1361-9209
Impact factor JCR
1,801
Impact info
Volume
30
10.1016/j.trd.2014.05.008
Journal number
july 2014
From page
32
To page
37
Month
JULIO
Ranking
Participants
  • Autor: Felipe Jimenez Alonso (UPM)
  • Autor: Francisco Serradilla Garcia (UPM)
  • Autor: Alfonso Román
  • Autor: Jose Eugenio Naranjo Hernandez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Inteligencia Artificial
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