Driver behavior analysis on a curve through immersive simulation and a segmented regression model

Considering all the elements related to the occurrence of accidents, an important aspect is to identify the drivers most prone to accidents. This study aims to evaluate the behavior of drivers concerning gender and age. For this, a stretch of highway with a dangerous curve was modeled in a simulator...

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Bibliographic Details
Published inTransportes (Rio de Janeiro) Vol. 30; no. 1
Main Authors Scalco, Leonardo, Bordin, Fabiane, Menezes de Souza, Eniuce, Racolte, Graciela, Marques Jr, Ademir, Craveiro Cunto, Flávio José, Da Silveira Jr, Luiz Gonzaga, Veronez, Maurício Roberto
Format Journal Article
LanguageEnglish
Published Associação Nacional de Pesquisa e Ensino em Transportes (ANPET) 11.02.2022
Subjects
Behavior evaluation
Traffic accidents
Virtual Reality
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Summary:Considering all the elements related to the occurrence of accidents, an important aspect is to identify the drivers most prone to accidents. This study aims to evaluate the behavior of drivers concerning gender and age. For this, a stretch of highway with a dangerous curve was modeled in a simulator using an immersive virtual environment and 59 people experienced the simulation. The car speed was registered along the route and from a segmented regression model, the behavior for both groups was evaluated regarding average speed. The results showed that older drivers (26 to 35 years old) of the female gender slowed the car before the other profile groups. Also, younger drivers (18 to 25 years old) took longer to slow down and had more accidents in the simulations. These results show that there are differences in driver’s behavior concerning gender and age.
ISSN:2237-1346
2237-1346
DOI:10.14295/transportes.v30i1.2548