The influence of middle-aged male driver profile on driving performance and the effects of three perceptual countermeasures: A simulator study

• Type: Article in International Scientific Journal
• Date: 2023

Authors

Mariane Bobermin (Author) FEUP; Sara Ferreira (Author) FEUP; Carlos Campos (Author) Other; João Miguel Leitão (Author) Other; Daniel Garcia (Author) Other

Journal

Title: Accident Analysis and Prevention

Vol. 191 No. 107201

ISSN: 0001-4575

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 2 Citations

ISI Web of Science

Scopus - 2 Citations

Pubmed / Medline

Clarivate Analytics

Scientific classification

CORDIS: Technological sciences > Engineering > Civil engineering

FOS: Engineering and technology > Civil engineering

Other information

Authenticus ID: P-00Y-W3X

DOI: 10.1016/j.aap.2023.107201

Abstract (EN): The human-environment-vehicle triad and how it relates to crashes has long been a topic of discussion, in which the human factor is consistently seen as the leading cause. Recently, more sophisticated approaches to Road Safety have advocated for a road-driver interaction view, in which human characteristics influence road perception and road environment affects driver behavior. This study focuses on road-driver interaction by using a driving simulator. The objective is to investigate how the driver profile influences driving performance and the effects of three countermeasures (peripheral transverse lines before and after the beginning of the curves and roadside poles in the curves). Fifty-six middle-aged male participants drove a non-challenging rural highway simulated scenario based on a real road where many single-vehicle crashes occurred. The drivers' profiles were assessed through their behavioral history measured by a validated version of the Driver Behavior Questionnaire (DBQ) comprising three dimensions: Errors (E), Ordinary Violations (OV), and Aggressive Violations (AV). The relationship between speed and trajectory measures and drivers' profiles was investigated using randomparameter models with heterogeneity in the means. The models' results showed that the DBQ subscale scores in OV explained a considerable part of the heterogeneity found in drivers' performance. Furthermore, the heterogeneity in the means caused by the DBQ subscale scores in OV and E in the presence of peripheral transverse lines indicates a difference in how drivers react to the countermeasures. The peripheral lines were more efficient than roadside poles to moderate speed but did not positively influence all drivers' trajectories. Although the peripheral lines could be seen as an alternative to change driver behavior in a non-challenging or monotonous road environment, the design used in this study should be reviewed.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12