RT info:eu-repo/semantics/article
T1 Assessment of the Influence of Technology-Based Distracted Driving on Drivers’ Infractions and Their Subsequent Impact on Traffic Accidents Severity
A1 García Herrero, Susana
A1 Febres Eguiguren, Juan Diego
A1 Boulagouas, Wafa
A1 Gutiérrez, José Manuel
A1 Mariscal Saldaña, Miguel Ángel
K1 Road traffics accidents
K1 Technology-based distractions
K1 Aberrant infractions
K1 Speed infractions
K1 Bayesian network
K1 Traffic accidents severity
K1 Tecnología
K1 Technology
K1 Transportes
K1 Transportation
K1 Salud
K1 Health
AB Multitasking while driving negatively affects driving performance and threatens people’s lives every day. Moreover, technology-based distractions are among the top driving distractions that are proven to divert the driver’s attention away from the road and compromise their safety. This study employs recent data on road traffic accidents that occurred in Spain and uses a machine-learning algorithm to analyze, in the first place, the influence of technology-based distracted driving on drivers’ infractions considering the gender and age of the drivers and the zone and the type of vehicle. It assesses, in the second place, the impact of drivers’ infractions on the severity of traffic accidents. Findings show that (i) technology-based distractions are likely to increase the probability of committing aberrant infractions and speed infractions; (ii) technology-based distracted young drivers are more likely to speed and commit aberrant infractions; (iii) distracted motorcycles and squad riders are found more likely to speed; (iv) the probability of committing infractions by distracted drivers increases on streets and highways; and, finally, (v) drivers’ infractions lead to serious injuries.
PB MDPI
SN 1660-4601
YR 2021
FD 2021-06
LK http://hdl.handle.net/10259/9011
UL http://hdl.handle.net/10259/9011
LA eng
NO This research was funded by the project “Modelización mediante técnicas de machine learning de la influencia de las distracciones del conductor en la seguridad vial”, grant number BU300P18, and was funded by FEDER (Fondo Europeo de Desarrollo Regional—Junta de Castilla y León).
DS Repositorio Institucional de la Universidad de Burgos
RD 04-dic-2024