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Bus line classification using neural networks
Citation
Jiménez Alonso, Felipe 
ORCID: https://orcid.org/0000-0002-9532-3835, Serradilla García, Francisco ORCID: https://orcid.org/0000-0001-7621-0627, Román de Andrés, Alfonso and Naranjo Hernandez, Jose Eugenio ORCID: https://orcid.org/0000-0002-4211-9419
(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: |
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| 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 |
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 |
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| DC Identifier: | https://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/S... |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 21 Oct 2014 16:19 |
| Last Modified: | 03 Nov 2014 09:39 |
