publication . Article . 2014

bus line classification using neural networks

Jiménez Alonso, Felipe; Serradilla García, Francisco; Román de Andrés, Alfonso; Naranjo Hernandez, Jose Eugenio;
Open Access
  • Published: 01 Jul 2014 Journal: Transportation Research Part D: Transport and Environment, volume 30, pages 32-37 (issn: 1361-9209, Copyright policy)
  • Publisher: Elsevier BV
  • Country: Spain
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.
Subjects
free text keywords: General Environmental Science, Transportation, Bus transit, Engineering, business.industry, business, Sampling (statistics), Urban transit, Kinematics, Transport engineering, Bootstrapping (electronics), Artificial neural network, Urban bus, Cluster analysis, Transporte
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publication . Article . 2014

bus line classification using neural networks

Jiménez Alonso, Felipe; Serradilla García, Francisco; Román de Andrés, Alfonso; Naranjo Hernandez, Jose Eugenio;