How Long Does it Take to Get Drowsy Behind the Wheel? An Exploratory Analysis of Commercial Drivers

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2021

Autores

Sara Ferreira (Autor) FEUP; António Lobo (Autor) FEUP; António Couto (Autor) FEUP

Ata de Conferência Internacional

Título: Advances in human factors of transportation

Páginas: 86-93

Indexação

Scopus - 0 Citações

Classificação Científica

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia civil ; Ciências Sociais > Ciências psicológicas > Psicologia

FOS: Ciências da engenharia e tecnologias > Engenharia civil ; Ciências sociais > Psicologia

Projetos Associados

AUTODRIVING - Autodriving - Modelação do comportamento do condutor em contexto de veículo autónomo com recurso ao simulador de condução

Outras Informações

ID Authenticus: P-00X-T67

DOI: 10.1007/978-3-030-80012-3_10

Abstract (EN): This study explores retrospective data from a driver monitoring system (DMS) to analyze the driving time until the occurrence of drowsiness among commercial drivers. The database includes 1,121 driving records (trips) obtained from fleet vehicles belonging to six different companies. The time to the first drowsiness alert emitted by the DMS was modeled using a hazard-based duration model with a Weibull distribution and random parameters, considering the effects of trip duration and company-specific dummy variables. The results show that the probability of occurrence of the first drowsiness event increases with time, although it increases at different rates from one company to another. Then, company effects, such as the activity sector and fleet management policies, may play an important role in the development of driver drowsiness.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 7