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Using data mining techniques to road safety improvement in Spanish roads

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Using data mining techniques to road safety improvement in Spanish roads

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Martín, L.; Baena-Ruiz, L.; Garach, L.; López-Maldonado, G.; De Oña, J. (2014). Using data mining techniques to road safety improvement in Spanish roads. Procedia - Social and Behavioral Sciences. 160:607-614. https://doi.org/10.1016/j.sbspro.2014.12.174

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/152723

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Title: Using data mining techniques to road safety improvement in Spanish roads
Author: Martín, L. Baena-Ruiz, Leticia Garach, L. López-Maldonado, Griselda De Oña, J.
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería e Infraestructura de los Transportes - Departament d'Enginyeria i Infraestructura dels Transports
Issued date:
Abstract:
[EN] Crashes are events that involve the interaction of different components: road, driver, vehicle and environment. Nevertheless, road is an essential component and improvements on road conditions are directly related to ...[+]
Subjects: Road safety , Crashes , Hazardous sections , Data mining
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Procedia - Social and Behavioral Sciences. (issn: 1877-0428 )
DOI: 10.1016/j.sbspro.2014.12.174
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.sbspro.2014.12.174
Conference name: XI Congreso de Ingeniería del Transporte (CIT 2014)
Conference place: Santander, Spain
Conference date: Junio 09-11,2014
Thanks:
The authors would like to thank the FEDER of European Union for financial support via project "Analisis de la relacion entre Elementos Susceptibles de Mejora, Accidentes y TCA" of the "Programa Operativo FEDER de Andalucia ...[+]
Type: Artículo Comunicación en congreso

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