01506192

Component

http://onlinepubs.trb.org...es/2011/RSS/3/Beyene,N.pdf

Research on driving safety related to impairment on the national level focuses primarily on impaired driving from alcohol or drug abuse and older drivers due to increased mortality per miles driven. There is a lack of evidence to inform policies relating to issues of medically-impaired (M-I) driving with progressive conditions, self-restriction of driving, and effectiveness of adaptive driving strategies. Currently, the best available methods of screening the population for driving capability are policies for age-based license review/renewal and physician reporting of medically-impaired drivers. Driver rehabilitation programs are charged with the task of driving assessment and evaluation to provide recommendations for medical advisory boards within state Departments of Transportation. This paper proposes a complimentary method for assessment of driver capability within driver rehabilitation programs called navisection. Navisection facilitates automatic data segmentation for driving evaluation through the combination of naturalistic driving data collection with event logging by a Certified Driver Rehabilitation Specialist (CDRS). Using CDRS-assisted driving events as a surrogate measure for crash risk, it may be possible to track causal factors of driving errors, apply standard algorithms to naturalistic driving data for intelligent screening and referral systems, and produce longitudinal driver monitoring to support contextual driver education/advising systems. The navisection methodology is also discussed with respect to two exemplary efforts sponsored in part by the National Highway Traffic Safety Administration. The first case discussed is driving safety assessment by review of the 100 car naturalistic study by the Virginia Tech Transportation Institute. The second case discussion analyzes driver referral pathways concerning the Maryland Model Driver Screening and Evaluation Program.

Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved

01501394

English

18p

2011

3rd International Conference on Road Safety and Simulation

Digital/other

Figures; References; Tables

Automatic data collection systems; Data collection; Diseases and medical conditions; Driver performance; Driver rehabilitation; Highway safety; Impaired drivers; Risk assessment

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

TRIS, TRB, ATRI

Jan 29 2014 12:47PM