Your everyday drive to Publix or down I-95 might be saying more about your brain than you realize. A Florida Atlantic University team in Boca Raton has found that routine driving patterns can quietly flag early cognitive decline in older adults, long before problems show up in the exam room.
Using unobtrusive sensors tucked into participants' vehicles, researchers tracked how people braked, accelerated and structured their trips. They saw clear differences in pedal control, trip fragmentation and speed management between cognitively unimpaired drivers and those with pre-mild cognitive impairment (pre-MCI) or mild cognitive impairment (MCI). Taken together, those behaviors could offer a low-burden way to spot subtle changes early instead of waiting for a crisis.
How the Study Worked
The peer-reviewed study analyzed 4,739 real-world trips from 36 drivers and paired in-car telematics and accelerometer data with detailed cognitive testing every three months, according to Sensors. Researchers pulled out trip-level features such as distance, duration, mean and maximum speed, engine RPM, throttle variability and counts of hard braking or sharp turns.
They then used penalized mixed-effects models to pinpoint combinations of driving behaviors that best separated unimpaired drivers from those with pre-MCI or MCI. To focus on normal, everyday driving instead of lab simulations or self-reported behavior, the analysis zeroed in on trips from the final three months of participants' first year in the study.
What Researchers Found
Florida Atlantic University noted that it was the overall pattern, not a single bad turn or hard brake, that sent the strongest signal. "What makes these findings especially compelling is how clearly the combined driving patterns separated the two groups," Ruth Tappen, Ed.D., the study's senior author, said in a Florida Atlantic University statement.
The university stressed that the point is not to yank keys away from older drivers. Instead, the goal is to develop a passive, real-world monitoring tool that could prompt a closer cognitive checkup when subtle, reproducible changes in driving first appear.
Why It Matters in Florida
Florida's licensing numbers show why this hits close to home. State records list about 4,464,206 licensed drivers age 65 and older as of January 2025, roughly 24% of Florida's 18.58 million licensed drivers, according to the Florida Department of Highway Safety and Motor Vehicles.
U.S. Census Bureau QuickFacts for Florida also show that 21.8% of state residents are 65 or older, concentrating the exact demographic this research targets. With that many older adults behind the wheel, researchers see clear value in a low-burden, passive screening approach that can support both safety and continued mobility where it is still appropriate.
Limitations and Next Steps
The authors are blunt that this is an exploratory study. The Sensors paper notes that the small number of participants and an imbalance between the groups reduce the precision of the statistical estimates. The team is calling for larger, more balanced cohorts to shore up the findings.
Researchers say their in-vehicle kit relies on commercially available, low-intrusion hardware to keep the burden on drivers minimal. Still, they acknowledge that privacy, consent and equity concerns will need careful attention before any wider rollout. Recommended next steps include replication, validation against clinical biomarkers and broader testing across different vehicle types and driving environments.
What Drivers and Families Should Know
This setup is a signal-finding tool, not a diagnosis. If families notice worrying changes in a loved one's driving, the takeaway from the study is to seek a medical evaluation, not to rely on telematics or to immediately pull the car keys.
The Florida Department of Highway Safety and Motor Vehicles maintains guidance tailored to older motorists, including a resource page with safety tips and state programs, accessible through the Florida Department of Highway Safety and Motor Vehicles. For now, the clearest message from the research is that small, consistent changes in everyday driving should prompt clinical follow-up, not automatic removal from the road.
