GM-UMTRI Study Shows Advanced Safety Features Cut Crashes and Injuries
A new study from the University of Michigan Transportation Research Institute confirms that GM's advanced safety technologies significantly reduce crashes and injuries on public roads.
12 million
700,000+
18
What Happened
The study, the eighth in a partnership between GM and UMTRI, analyzed about 12 million GM model year 2020-2024 vehicles and over 700,000 police-reported crashes across 18 states. Researchers found statistically significant reductions in certain crash types for vehicles equipped with safety features such as Automatic Emergency Braking, Front Pedestrian Braking, Lane Keep Assist with Lane Departure Warning, Forward Collision Alert, and IntelliBeam.
“By linking data from more than 700,000 police-reported crashes with the safety content in about 12 million GM vehicles, we can see with a high degree of confidence that these features are delivering meaningful benefits for our customers and everyone who shares the road.”
12 millionvehicles
Model years 2020-2024
700,000+police-reported crashes
Across 18 states
- Automatic Emergency Braking
- Front Pedestrian Braking
- Lane Keep Assist with Lane Departure Warning
- Forward Collision Alert
- IntelliBeam
Why this matters
This real-world evidence shows that driver assistance features like automatic braking and lane keep help prevent accidents, moving GM closer to its goal of zero crashes.
Terms in This Story
- Automatic Emergency Braking
- A safety system that automatically applies the brakes to prevent or reduce the severity of a collision.
- Lane Keep Assist
- A feature that helps keep the vehicle centered in its lane by gently steering if it detects unintentional drifting.
- Forward Collision Alert
- A system that warns the driver of an imminent front-end collision with a vehicle or object.
- IntelliBeam
- GM's automatic high-beam headlight system that switches between high and low beams based on traffic conditions.
Summarised from the linked release; details can be imperfect — always verify against the original source.