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Dataset Information

Simulated driving behavior over the adult age span.


ABSTRACT:

Background

Motor vehicle accidents remain a leading cause of accidental death worldwide. Death and injury rates are particularly high for both young inexperienced drivers and elderly drivers. Understanding the behavioral changes that are associated with maturation and aging could inform assessments of driving performance and lead to new measures identifying at-risk drivers. To shed further light on such effects, this study aims to characterize simulated driving behavior across and within age groups using a large driving simulation dataset.

Methods

The analyzed dataset consisted of 112 participants [47/112 (42%) female] between the ages of 17 and 85 (average ± standard deviation: 54 ± 22 years). Participants performed navigation in scenarios modeled after the standard licensi

SUBMITTER: Menze F 

PROVIDER: S-EPMC11879975 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature