Structural equation model analysis for the evaluation of overall driving performance: A driving simulator study focusing on driver distraction

Traffic Injury Prevention
Panagiotis Papantoniou

Abstract

The present research relies on 2 main objectives. The first is to investigate whether latent model analysis through a structural equation model can be implemented on driving simulator data in order to define an unobserved driving performance variable. Subsequently, the second objective is to investigate and quantify the effect of several risk factors including distraction sources, driver characteristics, and road and traffic environment on the overall driving performance and not in independent driving performance measures. For the scope of the present research, 95 participants from all age groups were asked to drive under different types of distraction (conversation with passenger, cell phone use) in urban and rural road environments with low and high traffic volume in a driving simulator experiment. Then, in the framework of the statistical analysis, a correlation table is presented investigating any of a broad class of statistical relationships between driving simulator measures and a structural equation model is developed in which overall driving performance is estimated as a latent variable based on several individual driving simulator measures. Results confirm the suitability of the structural equation model and indicate t...Continue Reading

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Citations

Mar 2, 2019·Traffic Injury Prevention·Hammad Hussain AwanTom Brijs
Mar 23, 2020·Journal of Safety Research·Sónia SoaresAntónio Couto

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