Virtual Car Driving Setup

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Colby DuLin

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Aug 4, 2024, 11:43:20 PM8/4/24

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Webegin with a pre-drive assessment loaded with situations that are scored to provide a baseline of driver ability. From there you embark on hours of involved, interactive learning featuring the very best combination of learning techniques. Since distracted driving has now spread to distracted walking, VDE even has a lesson on being a safe pedestrian!

From a measurement standpoint, perhaps the greatest feature of Driving Essentials is the Vision reporting feature. An instructor will be able to view reports from every simulator to compile progress reports. The data collected will provide information on completed lessons, time per lesson, scores, assessment data, and measurements of crucial driving behaviors.

After completing the virtual driving assessment, teens (and their families) receive high-quality, personalized feedback on their crash-avoidance skills, including tips to improve and links to videos created by CHOP experts to develop specific driving skills.

This large, prospective population-based study of 2018 Ohio licensing data shows age-related differences in licensing and crash outcomes that track with age-related licensing policies in Ohio. CIRP researchers compared data from 136,643 license applicants between the ages of 16 and 24 with tracked licensed driver crash outcome data from up to one year after licensure for 129,897 of those drivers.

The study found that drivers who were licensed at age 18, making them exempt from comprehensive licensing requirements that include behind the wheel training had the highest crash rates in the first year of licensure of all those licensed under the age of 25. Compared with drivers licensed at age 18, those licensed at age 16 had 27% lower crash rates over the first two months of licensure and 14% lower crash rates over the first 12 months of licensure. Compared with drivers licensed at 18, those licensed at age 17 had 19% lower crash rates over the first 2 months of licensure and 6% lower crash rates over the first 12 months of licensure. In addition, 16-year-old license applicants performed best of all those licensed under age 25 on the on-road license examination, with a 22% failure rate compared with a 37% failure rate at age 18.

When accounting for socioeconomic status (SES), those in the lowest 10th percentile SES neighborhoods had statistically significantly higher crash rates than those living in the highest 10th percentile SES neighborhoods and were more likely to fail their first on-road driving exam, suggesting the importance of making comprehensive driver training more affordable.

Funding: Eunice Kennedy Shriver Institute of Child Health and Development of the National Institutes of Health; National Highway Traffic Safety Administration; Ohio Bureau of Motor Vehicles; Annenberg Policy Center at the University of Pennsylvania; NJM Insurance Group

Using data from a virtual driving assessment (VDA) implemented into the licensing workflow in Ohio, this study compared the VDA performance of nearly 33,000 license applicants to their on-road examination results. Researchers created a set of Driving Skill Clusters that represent driving performance in areas including vehicle control, braking, acceleration, and tendency to speed or tailgate. They then grouped results with these clusters into four driving classes: 1) No issues (careful and skilled); 2) Minor Issues (minor vehicle control deficits); 3) Major Issues (vehicle control problems with reckless/risk-taking behaviors); 4) Major Issues with Dangerous Behaviors (more reckless/risk-taking behaviors).

Those in the No Issues and Minor Issues classes were 29% and 11% less likely to fail the on-road examination, while those in the Major Issues and Major Issues with Dangerous Behaviors classes were 34% and 19% more likely to fail the on-road examination. This study shows that license applicants can be classified based on their driving skills at the time of licensure. Future studies will validate these Skill Cluster classes in relation to their prediction of post-licensure crash outcomes.

Results show that feedback reports designed with a performance summary and a short, targeted action plan starting with the biggest area for improvement are most likely to motivate novice drivers to take action to improve skills and are also easy to use and understand.

Using a virtual driving assessment (VDA) implemented in the licensing workflow in Ohio, this study examined how virtual driving skill classification measured at the time of licensure can predict crash risk, post-licensure, in newly licensed young drivers. This observational study utilized a linked dataset of VDA, state licensing and crash record data, to examine 16,914 young drivers (under 25 years) who completed the VDA at the time of licensure, and their subsequent police-reported crash records. Using the outcome of time-to-first crash, a Cox proportional hazard model was used to estimate the risk of crash during the follow-up period as a function of VDA Driving Class (and Skill Cluster) membership.

Results show that VDA driving skills measured at licensure predicted crash risk post-licensure: specifically, the best performing No Issues Driving Class had a crash risk 10% lower than average risk (95% CI 13% - 6%), while the Major Issues with Dangerous Behavior Class had a crash risk 11% higher than average (95% CI 1% - 22%). This is the first population-level study showing that young driver skills measured at the time of licensure can predict crash risk early in licensure, paving the way for targeted and personalized interventions before the period of highest crash risk.

Funding: Eunice Kennedy Shriver Institute of Child Health and Human Development of the National Institutes of Health, the US National Highway Traffic Safety Administration through the Ohio Traffic Safety Office, the State of Ohio's Department of Administrative Services, Annenberg Public Policy Center of the University of Pennsylvania, and NJM Insurance Group.

This study, published in the Annals of Family Medicine, builds on prior research that assessed the effectiveness of the virtual driving assessment (VDA) in predicting crash risk for young drivers. CHOP researchers evaluated the initial VDA implementation in primary care sites across its first two years. During that time, 24,657 adolescents visited CHOP for preventive care, with 33,037 completing the VDA as part of the visit.

Results show that implementing a novel VDA in adolescent primary care preventative visits is feasible and desired by adolescents. The findings describe a model for integrating driving support into primary care and help address a leading cause of adolescent injury and death. Researchers expect that the VDA will provide increasing decision support to families to promote safe driving for new and young drivers.

New research published today by the journal Pediatrics found that driving skills measured at the time of licensure on a virtual driving assessment (VDA), which exposes drivers to common serious crash scenarios, helps predict crash risk in newly licensed young drivers.

While drivers between the ages of 15 and 20 only make up about 5% of all drivers on the road, they are involved in approximately 12% of all vehicle crashes and 8.5% of fatal crashes. The time of greatest crash risk is in the months right after these young drivers receive their license, largely due to deficits in driving skills.

However, many of these newly licensed drivers do avoid crashes. The challenge for policymakers, clinicians, and families has been identifying which drivers are at increased risk of crashing during the learning phase before they drive on their own. Early identification of at-risk drivers offers the opportunity to intervene with training and other resources known to help prevent crashes, making the roads safer for everyone.

In this study, researchers examined the ability of the VDA, delivered at the time of the licensing road test, to predict crash risk in the first year after obtaining licensure in the state of Ohio. Using a unique study design, the results of the VDA were linked to police-reported crash records for the first year after obtaining a license.

The researchers analyzed a unique integrated dataset of individual results of VDA performance, collected in the Ohio Bureau of Motor Vehicles before the licensing road test, linked to licensing and police-reported crash records in 16,914 first-time newly licensed drivers under the age of 25. Data were collected from applicants who completed the VDA between July 2017 and December 2019 on the day they passed the on-road licensing examination in Ohio. Researchers examined crash records up to mid-March 2020.

Michael Elliott, PhD, professor of Biostatistics at the University of Michigan School of Public Health and research professor at the Institute for Social Research at U-M and study co-author, said the VDA is designed to take drivers through a variety of low to high risk, uniquely realistic virtual driving scenarios that can determine where skills are weakest. The driving behaviors are tracked in real time using several dozen measures.

"We know young novice drivers are at higher risk of crashing than more experienced drivers," Elliott said. "The novel VDA tool uses information about their behaviors, such as virtual braking, accelerating, steering, and crashing. That risk profile has now been shown to be predictive of their crash behavior during their first couple of years on the road. What's crucial to note is that most of these behaviors are amenable with additional driving training."

The Wall Street Journal, the Philadelphia Inquirer, Forbes and and other news outlets highlighted this only-at-CHOP novel service as a validated way to accurately predict crash risk in newly licensed drivers. Teens who do well on the VDA are 10% less likely to crash. Those who do poorly are 10% more likely to crash. It is fun, useful and validated by science.