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Analysis of traffic accidents on rural highways using Latent Class Clustering

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Analysis of traffic accidents on rural highways using Latent Class Clustering

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De Oña, J.; López-Maldonado, G.; Mujalli, R.; Calvo, FJ. (2013). Analysis of traffic accidents on rural highways using Latent Class Clustering. Accident Analysis & Prevention. 51:1-10. doi:10.1016/j.aap.2012.10.016

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/105464

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Title: Analysis of traffic accidents on rural highways using Latent Class Clustering
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] One of the principal objectives of traffic accident analyses is to identify key factors that affect the severity of an accident. However, with the presence of heterogeneity in the raw data used, the analysis of traffic ...[+]
Subjects: Cluster Analysis , Latent Class Clustering , Bayesian Networks , Traffic accidents , Classification , Injury severity , Highways , Road safety
Copyrigths: Reserva de todos los derechos
Source:
Accident Analysis & Prevention. (issn: 0001-4575 )
DOI: 10.1016/j.aap.2012.10.016
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.aap.2012.10.016
Type: Artículo

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