Music Distraction among Young Drivers: Analysis by Gender and Experience
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 stu...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/6039762 |
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| _version_ | 1832547389796253696 |
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| author | Carlos A. Catalina Susana García-Herrero Elvira Cabrerizo Sixto Herrera Santiago García-Pineda Fatemeh Mohamadi M. A. Mariscal |
| author_facet | Carlos A. Catalina Susana García-Herrero Elvira Cabrerizo Sixto Herrera Santiago García-Pineda Fatemeh Mohamadi M. A. Mariscal |
| author_sort | Carlos A. Catalina |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-cb0fff7e6d7b45ae8c4a15cbbf460220 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-cb0fff7e6d7b45ae8c4a15cbbf4602202025-02-03T06:44:57ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/60397626039762Music Distraction among Young Drivers: Analysis by Gender and ExperienceCarlos A. Catalina0Susana García-Herrero1Elvira Cabrerizo2Sixto Herrera3Santiago García-Pineda4Fatemeh Mohamadi5M. A. Mariscal6Escuela Politécnica Superior, Universidad de Burgos, Burgos, SpainEscuela Politécnica Superior, Universidad de Burgos, Burgos, SpainEscuela Politécnica Superior, Universidad de Burgos, Burgos, SpainDepartment of Applied Mathematics and Computer Science, Universidad de Cantabria, Santander, SpainEscuela Politécnica Superior, Universidad de Burgos, Burgos, SpainSchool of Architecture and Cities, University of Westminster, London, UKEscuela Politécnica Superior, Universidad de Burgos, Burgos, SpainThe 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.http://dx.doi.org/10.1155/2020/6039762 |
| spellingShingle | Carlos A. Catalina Susana García-Herrero Elvira Cabrerizo Sixto Herrera Santiago García-Pineda Fatemeh Mohamadi M. A. Mariscal Music Distraction among Young Drivers: Analysis by Gender and Experience Journal of Advanced Transportation |
| title | Music Distraction among Young Drivers: Analysis by Gender and Experience |
| title_full | Music Distraction among Young Drivers: Analysis by Gender and Experience |
| title_fullStr | Music Distraction among Young Drivers: Analysis by Gender and Experience |
| title_full_unstemmed | Music Distraction among Young Drivers: Analysis by Gender and Experience |
| title_short | Music Distraction among Young Drivers: Analysis by Gender and Experience |
| title_sort | music distraction among young drivers analysis by gender and experience |
| url | http://dx.doi.org/10.1155/2020/6039762 |
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