01550187

Component

This study focused on capturing individual driving behaviors associated with crossing straight through a stop-sign-controlled intersection, and analyzing those behaviors relative to a variety of driver demographic characteristics known to contribute to increased crash rates. Data on intersection driving maneuvers were collected from an advanced driving simulator and on real roads in a physically identical vehicle, and the vehicle-control behaviors were compared to driver-descriptive variables using multiple regression models. These driver characteristics were used to try to predict intersection-specific driving behaviors. The findings are particularly relevant to driver educators as they indicate specific behaviors to identify and correct while training at-risk drivers. Significant results were found relating gender, driving experience, and the DBS subscales to different aspects of maneuvering through a stop-controlled intersection. With the explosion of publicly available naturalistic and driver data, this study is timely in that it provides a simple method for exploring relationships between different driver descriptors and driving task performance. This work could be expanded to identify driver characteristics most commonly associated with dangerous driving behaviors in a larger set of driving maneuvers.

This paper was sponsored by TRB committee AND10 Vehicle User Characteristics.

01550057

15-2347

English

12

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Photos; References (24) ; Tables

Behavior; Crash causes; Demographics; Driver education; Driver performance; Drivers; Multiway stop signs; Risk assessment

Education and Training; Highways; Safety and Human Factors; I83: Accidents and the Human Factor

Transportation Research Board Annual Meeting 2015 Paper #15-2347

TRIS, TRB, ATRI

Dec 30 2014 12:50PM