Accident statistics provide valuable lessons for car manufacturers, insurers, and traffic planners. They reveal where driver-assistance systems fail – and where they prove particularly effective.
Dr. Matthias Kühn, Head of Vehicle Safety at the German Insurance Association (GDV), explains: “Driver-assistance systems (DAS) are now so widespread that their impact shows up clearly in crash data.”
Research from organizations like the U.S.-based Insurance Institute for Highway Safety (IIHS) confirms: Even when accidents can’t be avoided entirely, these systems often reduce the consequences. “Crashes tend to be less severe, with fewer injuries and lower repair costs,” Kühn says. This shift in accident patterns offers important guidance for further system development.
Let’s walk through a typical, realistic scenario: A car is traveling at about 100 km/h on the highway. The car in front suddenly slows to 60 km/h at the back of a traffic jam. A rear-end collision occurs. Kühn explains how modern safety systems step in during the fractions of a second before, during, and after the crash to limit the damage.
Cameras and radar detect traffic signs, lane markings, and vehicles ahead. If a traffic jam is recognized and the driver doesn’t react, the system issues a warning at least one second before the potential collision: a beep, a flashing display, or even a slight jolt from the brakes.
The goal is to give the driver just enough time to act. In most cases, that one second is sufficient to prevent a crash. If not, the automatic emergency braking system can still intervene.
“Making the system more aggressive by warning earlier isn’t always helpful,” Kühn notes. “It could trigger too many false alarms, causing drivers to ignore or even disable the warning.” Automakers are therefore working on smarter strategies – for example, monitoring the driver with an interior camera to detect if they are distracted or unresponsive, and adjusting the timing of alerts accordingly.
Another tool: emergency steering assist. This supplements braking with an automatic evasive maneuver – but only if the driver initiates steering. This can resolve dangerous situations when braking alone won’t suffice.
If the driver still doesn’t react, the emergency brake kicks in at full force. In the best case, the crash is avoided. At the very least, the impact speed is significantly reduced.
Seatbelt tensioners and airbags deploy. Airbags inflate in just 30–50 milliseconds, cushioning the body and preventing serious injury.
“These restraint systems will continue to improve,” Kühn explains. “Future versions will adapt automatically to a person’s size, weight, and age for better protection.”
The car hits the vehicle ahead. Thanks to emergency braking, the collision is much less violent. The crumple zone absorbs the energy, keeping the passenger cell intact while airbags and belts do their job.
The driver is safely restrained and remains uninjured.
The system automatically applies the brakes to prevent the car from rolling further and hitting something else. Hazard lights switch on.
Crash sensors detect the severity of the accident and automatically dial 112. A voice connection is established, and a “minimum set of data” – including location and vehicle type – is sent to emergency services.
If no one responds via the car’s hands-free system, help is dispatched automatically based on the transmitted data.
“eCall significantly cuts emergency response times,” Kühn says. In the future, the transmitted data may include the number of occupants or whether airbags deployed – vital information for first responders.
If uninjured, passengers should exit the vehicle and move behind the guardrail. In some situations, however, staying inside is safer. Under no circumstances should anyone linger on the roadway. Automakers are already testing small autonomous robots that could automatically place warning triangles to secure the crash site.
Emergency braking systems already play a major role in road safety, but there’s plenty of room for improvement.
“Future versions will combine more precise sensors, AI-powered object recognition, and better situational awareness,” says Kühn. “Smart algorithms will react more contextually and predictively, enabling faster braking and steering maneuvers tailored to the situation. Connectivity with other vehicles and infrastructure (V2X) will help detect hazards earlier. And with over-the-air updates, these systems can keep learning and improving continuously.”
