Center for Injury Research and Prevention

Using Crash Data to Develop Simulator Scenarios for Assessing Novice Driver Performance.

TitleUsing Crash Data to Develop Simulator Scenarios for Assessing Novice Driver Performance.
Publication TypeJournal Article
Year of Publication2012
AuthorsMcDonald CC, Tanenbaum JB, Lee Y-C, Fisher DL, Mayhew DR, Winston FK
JournalTransp Res Rec
Date Published2012

Teenage drivers are at their highest crash risk in their first 6 months or first 1,000 mi of driving. Driver training, adult-supervised practice driving, and other interventions are aimed at improving driving performance in novice drivers. Previous driver training programs have enumerated thousands of scenarios, with each scenario requiring one or more skills. Although there is general agreement about the broad set of skills needed to become a competent driver, there is no consensus set of scenarios and skills to assess whether novice drivers are likely to crash or to assess the effects of novice driver training programs on the likelihood of a crash. The authors propose that a much narrower, common set of scenarios can be used to focus on the high-risk crashes of young drivers. Until recently, it was not possible to identify the detailed set of scenarios that were specific to high-risk crashes. However, an integration of police crash reports from previous research, a number of critical simulator studies, and a nationally representative database of serious teen crashes (the National Motor Vehicle Crash Causation Survey) now make identification of these scenarios possible. In this paper, the authors propose this novel approach and discuss how to create a common set of simulated scenarios and skills to assess novice driver performance and the effects of training and interventions as they relate to high-risk crashes.

Alternate JournalTransp Res Rec
PubMed ID23543947
PubMed Central IDPMC3610562
Grant ListT32 NR007100 / NR / NINR NIH HHS / United States