2024-03-28T21:17:41Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/55072021-11-02T12:04:30Zcom_10259_5501com_10259_5086com_10259_2604col_10259_5502
Catalina, Carlos A.
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500
García Herrero, Susana
206
500
Cabrerizo, Elvira
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500
Herrera, Sixto
6f7d9321-5487-40bc-b7c8-cdd297f78bee
500
García Pineda, Santiago
73a7370e-a038-44dd-bbf1-41706d305bca
500
Mohamadi, Fatemeh
3db5781f-561c-4209-9485-3baf4c346bde
500
Mariscal Saldaña, Miguel Ángel
337
500
2020-10-05T07:47:54Z
2020-10-05T07:47:54Z
2020-08
0197-6729
http://hdl.handle.net/10259/5507
10.1155/2020/6039762
2042-3195
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.
FEDER (Fondo Europeo de Desarrollo Regional) for developing Castilla y Le´on´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
eng
Hindawi
Journal of Advanced Transportation. 2020, 6039762
https://doi.org/10.1155/2020/6039762
info:eu-repo/grantAgreement/JCyL/BU300P18
Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
Transporte
Transportation
Music distraction among young drivers: analysis by gender and experience
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Journal of Advanced Transportation
2020
1
12
ORIGINAL
Catalina-jat_2020.pdf
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2021-11-02 13:04:30.451
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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