CIRP researchers are using SHRP2 data in studies to help improve teen driver behaviors.
Through the analysis of naturalistic and simulated driving data, the Teen Driving Safety Research team at the Children's Hospital of Philadelphia Research Institute is working to reduce the frequency and severity of crashes involving teen drivers. The researchers are conducting a number of studies to assess the driving skills of newly licensed teens, how various driving scenarios affect teen driver behaviors and emotions, and how mental health conditions affect teen driver behaviors. The following projects are currently underway:
Driving Analytics: Comparison of Teen and Adult Naturalistic Car-following Patterns
This study identified the specific predictors of crashes and near crashes among young drivers and determined if these predictors vary across age and skill level using the Strategic Highway Research Program 2 (SHRP2) naturalistic dataset.
Read more about the research.
Machine Learning Techniques: Online Prediction of Driving Behavior and Generation of Customized Feedback via Machine Learning Models
Machine learning is an analytic technique that shows promise in providing algorithms to help predict and manage certain teen driver behaviors that can contribute to crash risk, including speed management. In this multi-year study, researchers successfully created a mechanism to receive real-time data from a driving simulator to train machine learning models using this data to make predictions of teen driver behaviors. They were also able to provide feedback about speed management to teen drivers while in the simulator.
The researchers are continuing to analyze the data to help inform the development of interventions to help teen drivers develop crucial speed management skills. The mechanism they created also shows great promise in preventing teens from engaging in other dangerous driving behaviors via personalized feedback models.
Read the study abstract.
Principal Investigators: Yi-Ching Lee, PhD; Santiago Ontañón, PhD; Funding: Center for Child Injury Prevention Studies (CChIPS)
Simulated Driving Performance, Self-Reported Driving Behaviors, and Mental Health Symptoms in Adolescent Novice Drivers
Risky driving behaviors contribute to adolescent injury, disability, and death, yet little is known about how mental health factors are associated with adolescent driving behaviors. In this study of 60 newly licensed teens and their parents, researchers examined how self-reported mental health symptoms related to attention-deficit hyperactivity disorder (ADHD), conduct disorder, and depression affect driving behaviors.They found that the more ADHD inattention symptoms reported by teens, the more errors they made in the driving simulator. The more self-reported symptoms of ADHD hyperactivity and conduct disorder, the more self-reported risky driving behaviors.
The researchers plan to further examine the role of mental health symptoms in driving behavior, particularly among teens with higher rates and severity of ADHD or other mental health problems. The early stage of independent driving is an important time for addressing the relationship between driving performance and mental health conditions.
Principal Investigator: Catherine C. McDonald, PhD, RN, FAAN; Funding: National Institutes of Health (Grant R00NR013548); University of Pennsylvania School of Nursing Dorothy Mereness Endowed Research Fund