Exploring Monitoring Systems Data for Driver Distraction and Drowsiness Research

• Tipo: Artigo em Revista Científica Internacional
• Data: 2020

Autores

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

Revista

Título: Sensors

Vol. 20 Nº 14

Páginas: 1-14

ISSN: 1424-3210

Editora: MDPI

Indexação

ISI Web of Knowledge - 0 Citações

ISI Web of Science

Scopus - 0 Citações

Classificação Científica

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

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

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-00S-ESX

DOI: 10.3390/s20143836

Abstract (EN): Driver inattention is a major contributor to road crashes. The emerging of new driver monitoring systems represents an opportunity for researchers to explore new data sources to understand driver inattention, even if the technology was not developed with this purpose in mind. This study is based on retrospective data obtained from two driver monitoring systems to study distraction and drowsiness risk factors. The data includes information about the trips performed by 330 drivers and corresponding distraction and drowsiness alerts emitted by the systems. The drivers’ historical travel data allowed defining two groups with different mobility patterns (short‐distance and long‐distance drivers) through a cluster analysis. Then, the impacts of the driver’s profile and trip characteristics (e.g., driving time, average speed, and breaking time and frequency) on inattention were analyzed using ordered probit models. The results show that long‐distance drivers, typically associated with professionals, are less prone to distraction and drowsiness than short‐distance drivers. The driving time increases the probability of inattention, while the breaking frequency is more important to mitigate inattention than the breaking time. Higher average speeds increase the inattention risk, being associated with road facilities featuring a monotonous driving environment. © 2020 by the authors.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 14