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Analysis of traffic accident severity using Decision Rules via Decision Trees

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Analysis of traffic accident severity using Decision Rules via Decision Trees

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Abellán, J.; López-Maldonado, G.; De Oña, J. (2013). Analysis of traffic accident severity using Decision Rules via Decision Trees. Expert Systems with Applications. 40(15):6047-6054. doi:10.1016/j.eswa.2013.05.027

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/102304

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Title: Analysis of traffic accident severity using Decision Rules via Decision Trees
Author:
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] A Decision Tree (DT) is a potential method for studying traffic accident severity. One of its main advantages is that Decision Rules can be extracted from its structure and used to identify safety problems and establish ...[+]
Subjects: Traffic accident , Severity , Road safety , Decision Trees , Decision Rules
Copyrigths: Reserva de todos los derechos
Source:
Expert Systems with Applications. (issn: 0957-4174 )
DOI: 10.1016/j.eswa.2013.05.027
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.eswa.2013.05.027
Type: Artículo

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