es | en | pt | fr
    • Presentación
    • Países
    • Instituciones
    • Participa
        JavaScript is disabled for your browser. Some features of this site may not work without it.
        Ver ítem 
        •   Inicio
        • Colombia
        • Universidades
        • Universidad Tecnológica de Bolivar UTB (Colombia)
        • Ver ítem
        •   Inicio
        • Colombia
        • Universidades
        • Universidad Tecnológica de Bolivar UTB (Colombia)
        • Ver ítem

        Using Data-Mining Techniques for the Prediction of the Severity of Road Crashes in Cartagena, Colombia

        Fecha
        2019
        Registro en:
        Communications in Computer and Information Science; Vol. 1052, pp. 309-320
        9783030310189
        18650929
        https://hdl.handle.net/20.500.12585/9195
        10.1007/978-3-030-31019-6_27
        Universidad Tecnológica de Bolívar
        Repositorio UTB
        57194034904
        57195939566
        23110963500
        57195913974
        57193504630
        Autor
        Ospina-Mateus H.
        Quintana Jiménez, Leonardo Augusto
        López-Valdés F.J.
        Morales-Londoño N.
        Salas-Navarro K.
        Institución
        • Universidad Tecnológica de Bolivar UTB (Colombia)
        Resumen
        Objective: Analyze the road crashes in Cartagena (Colombia) and the factors associated with the collision and severity. The aim is to establish a set of rules for defining countermeasures to improve road safety. Methods: Data mining and machine learning techniques were used in 7894 traffic accidents from 2016 to 2017. The severity was determined between low (84%) and high (16%). Five classification algorithms to predict the accident severity were applied with WEKA Software (Waikato Environment for Knowledge Analysis). Including Decision Tree (DT-J48), Rule Induction (PART), Support Vector Machines (SVMs), Naïve Bayes (NB), and Multilayer Perceptron (MLP). The effectiveness of each algorithm was implemented using cross-validation with 10-fold. Decision rules were defined from the results of the different methods. Results: The methods applied are consistent and similar in the overall results of precision, accuracy, recall, and area under the ROC curve. Conclusions: 12 decision rules were defined based on the methods applied. The rules defined show motorcyclists, cyclists, including pedestrians, as the most vulnerable road users. Men and women motorcyclists between 20–39 years are prone in accidents with high severity. When a motorcycle or cyclist is not involved in the accident, the probable severity is low. © 2019, Springer Nature Switzerland AG.
        Materias

        Mostrar el registro completo del ítem


        Red de Repositorios Latinoamericanos
        + de 8.000.000 publicaciones disponibles
        500 instituciones participantes
        Dirección de Servicios de Información y Bibliotecas (SISIB)
        Universidad de Chile
        Ingreso Administradores
        Colecciones destacadas
        • Tesis latinoamericanas
        • Tesis argentinas
        • Tesis chilenas
        • Tesis peruanas
        Nuevas incorporaciones
        • Argentina
        • Brasil
        • Colombia
        • México
        Dirección de Servicios de Información y Bibliotecas (SISIB)
        Universidad de Chile
        Red de Repositorios Latinoamericanos | 2006-2018
         

        EXPLORAR POR

        Instituciones
        Fecha2011 - 20202001 - 20101951 - 20001901 - 19501800 - 1900

        Explorar en Red de Repositorios

        Países >
        Tipo de documento >
        Fecha de publicación >
        Instituciones >

        Red de Repositorios Latinoamericanos
        + de 8.000.000 publicaciones disponibles
        500 instituciones participantes
        Dirección de Servicios de Información y Bibliotecas (SISIB)
        Universidad de Chile
        Ingreso Administradores
        Colecciones destacadas
        • Tesis latinoamericanas
        • Tesis argentinas
        • Tesis chilenas
        • Tesis peruanas
        Nuevas incorporaciones
        • Argentina
        • Brasil
        • Colombia
        • México
        Dirección de Servicios de Información y Bibliotecas (SISIB)
        Universidad de Chile
        Red de Repositorios Latinoamericanos | 2006-2018