A Sustainable Approach to How Roadway Recognition Affects Drivers’ Speed Choice

Ruy Santos Ribeiro, Orlando Yesid Esparza Albarracin, Guilherme Rodrigues Linhares, Ana Paula C. Larocca () and Liedi Legi B. Bernucci
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Ruy Santos Ribeiro: Department of Transportation Engineering, Sao Carlos School of Engineering, University of Sao Paulo, Sao Carlos 13566-590, Brazil
Orlando Yesid Esparza Albarracin: Department of Production Engineering, Mackenzie Presbyterian University, São Paulo 01302-907, Brazil
Guilherme Rodrigues Linhares: Arteris S.A., São Paulo 04506-000, Brazil
Ana Paula C. Larocca: Department of Transportation Engineering, Sao Carlos School of Engineering, University of Sao Paulo, Sao Carlos 13566-590, Brazil
Liedi Legi B. Bernucci: Department of Transportation Engineering, Polytechnic School, University of São Paulo, Sao Paulo 05508-010, Brazil

Sustainability, 2024, vol. 16, issue 15, 1-16

Abstract: Previous research has reported that driving on a familiar roadway can influence speed choice. However, the findings have not been extensively discussed in simulated environments, which are frequently used for assessments of driving behavior and traffic safety. This study assesses the effects of familiar roadways on drivers’ speed behavior in a driving simulator environment. During testing, 120 individuals drove through two blocks of four scenarios, each representing a real stretch of a mountainous Brazilian highway, with differences among the scenarios in advisory signs but with the same regulated speed. The participants could drive during the first, second, third, or fourth round, as established by random sorting. Afterwards, a Kruskal–Wallis Analysis of Variance (ANOVA) test was applied to search for significant differences in average speed between the rounds and scenarios. The results showed no significant differences in average speed ( p -value < 0.05; α = 0.05); moreover, the drivers’ ability and time licensed were not necessarily correlated with average speed, supporting future research with repeated scenarios towards maximizing the sample’s utility for speed analysis in driving simulators.

Keywords: driving simulator; speed choice; speed behavior; human behavior; highway; familiar driver (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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