Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes.

Montella, Alfonso; Mauriello, Filomena; Pernetti, Mariano; Rella Riccardi, Maria

Montella, Alfonso; Mauriello, Filomena; Pernetti, Mariano; Rella Riccardi, Maria.

Afiliación

Montella A; University of Naples Federico II, Department of Civil, Architectural and Environmental Engineering, Via Claudio 21, 80125, Naples, Italy. Electronic address: alfonso.montella@unina.it.
Mauriello F; University of Naples Federico II, Department of Civil, Architectural and Environmental Engineering, Via Claudio 21, 80125, Naples, Italy. Electronic address: filomena.mauriello@unina.it.
Pernetti M; University of Campania Luigi Vanvitelli, Department of Engineering, Via Roma 29, 81031, Aversa, CE, Italy. Electronic address: mariano.pernetti@unicampania.it.
Rella Riccardi M; University of Naples Federico II, Department of Civil, Architectural and Environmental Engineering, Via Claudio 21, 80125, Naples, Italy. Electronic address: maria.rellariccardi@unina.it.

Accid Anal Prev ; 155: 106119, 2021 Jun.

Article en En | MEDLINE | ID: mdl-33848813

Asunto(s)

Accidentes de Tránsito; Heridas y Lesiones; Algoritmos; Humanos; Italia/epidemiología; Heridas y Lesiones/epidemiología

Palabras clave

Association rules; Data mining; ROR crashes; Safety countermeasures; Severe and fatal crashes

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Heridas y Lesiones / Accidentes de Tránsito Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Accid Anal Prev Año: 2021 Tipo del documento: Article

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