首页|Assessment of Situational Complexities and Vehicle Control Difficulties for Profiling Driving Skills

Assessment of Situational Complexities and Vehicle Control Difficulties for Profiling Driving Skills

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Drivers who overestimate their driving skills are at risk. Overestimating drivers are often identified by comparing subjective and objective assessments of driving skills. These methods are influenced by social desirability bias, variation in experts' assessments, challenges in aligning measurement scales, and the high cost of on-road or simulator tests for every driver. This research paper aimed to profile overconfidence and driving skills without performing on-road or simulator tests. The study's first objective was to profile drivers as overconfident or non-overconfident by their accuracy in assessing the complexity of driving situations. The second objective was to profile non-overconfident drivers with low and high driving skills. The third objective was to study the influence of socio-demographic variables such as age, gender, education, driver training, and driving experience on overconfidence and driving skills. A photographic speed and questionnaire survey was conducted among 389 car drivers in and around Mangalore, India. The Fuzzy C-Means algorithm was used to profile overconfidence and driving skills. A correlation analysis was performed to study the influence of socio-demographic variables on overconfidence and driving skills. Correlation analysis found that age, gender, education, and driving experience did not significantly influence overconfidence. Formal training slightly reduced overconfidence as a long-term effect, highlighting the need for enhancing training methods in India. Further, both overconfident and non-overconfident drivers showed varying speeds for different complexities of situations. However, non-overconfident drivers reported a lower mean speed than overconfident drivers, suggesting that varying speed alone does not mitigate overconfidence.

Driving skillsOverconfidenceSituational complexitiesVehicle control difficultiesSpeed adaptation

R. Arichandran、Mithun Mohan、M. Sreekumar

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Department of Civil Engineering, National Institute of Technology Karnataka, Surathkal, Mangalore, India

2025

Transportation in Developing Economies

Transportation in Developing Economies

ISSN:2199-9295
年,卷(期):2025.11(1)
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