RT info:eu-repo/semantics/article
T1 Music distraction among young drivers: analysis by gender and experience
A1 Catalina, Carlos A.
A1 García Herrero, Susana
A1 Cabrerizo, Elvira
A1 Herrera, Sixto
A1 García Pineda, Santiago
A1 Mohamadi, Fatemeh
A1 Mariscal Saldaña, Miguel Ángel
K1 Transportes
K1 Transportation
AB The aim of this study was to quantify the probability of committing a speed infraction by young drivers and to investigate to what extent listening music could affect young drivers’ emotions as well as their driving performances at the wheel. To achieve this aim, employing Bayesian networks, the study analysed different music styles, in which they resulted in sample drivers’ speed infractions. Gender and drivers’ experiences at the wheel were the other factors, which were taken into account when interpreting the study results. Variables taken into account in this study included type of music whilst driving, gender of drivers, and drivers’ driving experiences. These variables further incorporated into the study of other telemetric variables including acceleration, number of revolutions per minute (RPM) of the engine, brake, traffic, and other types of infractions other than speed, which were considered as dependent variables. A driving simulator was used, and different driving simulation studies were carried out with young people aged between 20 and 28 years. Each participant carried out three simulations by listening to different type of music in each journey. The study defined a conceptual model in which the data were analysed and evaluated mathematically through Bayesian networks. A sensitivity analysis was performed to evaluate the influence of music on driving speed. Based on the different variables, the study further analysed the probability of speed infractions committed by drivers and their adequate speed. The range of frequency probabilities varied between 96.32% (which corresponds to experienced male drivers who do not listen to music) and 79.38% (which corresponds to less-experienced female drivers who listen to music), which resulted in their happiness or aggression.
PB Hindawi
SN 0197-6729
YR 2020
FD 2020-08
LK http://hdl.handle.net/10259/5507
UL http://hdl.handle.net/10259/5507
LA eng
NO FEDER (Fondo Europeo de Desarrollo Regional) for developing Castilla y León´s region. *e title of the project is “Modelizaci´on mediante t´ecnicas de machine learning de la influencia de las distracciones del conductor en la seguridad vial-Modeling the influence of driver´s distractions on road safety through machine learning techniques.” Ref. BU300P18.
DS Repositorio Institucional de la Universidad de Burgos
RD 24-dic-2024