New tech aims to catch drunk drivers before they crash
NCT ID NCT05796609
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested a system that uses car sensors and machine learning to tell if a driver is drunk. 55 volunteers drove a real car after drinking alcohol. The goal was to create an algorithm that can spot impaired driving and warn the driver.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for ALCOHOL DRINKING are added.
By submitting, you agree to our Terms of use
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
Institut für Rechtsmedizin
Bern, 3008, Switzerland
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Can a smartphone app curb PTSD and drinking after sexual assault?
- Heavy drinking and risky sex: a text-based intervention aims to cut HIV risk
- Alcohol and emotions: a cocktail for sexual risk?
- Weekly feedback tool aims to curb alcohol blackouts in young adults
- Smartphone breathalyzer and cash rewards aim to curb heavy drinking in veterans
- Can a smartphone program steer young adults away from heavy drinking by boosting rewarding, alcohol-free activities?