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How advanced driver assistance systems support safer fleets

By Alessandro Lori, PhD September 3, 2026

For fleet managers, driver safety is more than actively preventing collisions, it's about understanding the driver behavior that leads to them.

According to the National Highway Traffic Safety Administration (NHTSA), 39,254 people died in motor vehicle crashes in 2024 and "many of these crashes were tied to human error."1 A small subset of drivers repeating specific risky actions exponentially increases the likelihood of a catastrophic crash event.

Most risky driving habits, from distracted driving to tailgating to not wearing a seat belt, happen in moments that managers never see. By the time a complaint, citation or crash reaches the office, the opportunity to intervene has often passed.

Here are some stats based on the analysis of over 780 million Verizon Connect dashcam videos2:

  • Drivers who have more than two stop sign violations are 260% more likely to be in a crash
  • Those with more than three overspeeding events increase crash likelihood by 230%
  • 40% of drivers exceeded the posted speed limit at least once
  • 7% were observed not wearing a seatbelt

Advanced Driver Assistance Systems and AI-powered fleet safety technologies can help detect and limit these behaviors in real time to build safer driver habits. 

What is ADAS?

Advanced Driver Assistance Systems (ADAS) is a group of technologies that use sensors like LIDAR, radar and cameras to monitor a vehicle and its surroundings. The goal is to improve a driver’s awareness and automate certain tasks to reduce human error and the potential for collisions.

When the ADAS detects a potential hazard such as following too closely, drifting from a lane or an imminent forward collision, it can issue an immediate visual or auditory in-cab alert or apply brakes, giving the driver an opportunity to avoid an incident.

In commercial fleets, ADAS has evolved beyond the factory-installed features found in passenger vehicles. Today's solutions combine AI-powered dashcams and vehicle sensors with cloud-based fleet management software to help reduce risky driving behaviors and support fleet safety.

While ADAS technologies support safe driving, it’s important to remember that even with these autonomous features, vehicles still require a human driver to do the majority of the driving and decision making behind the wheel. Fleet safety is something that can never be fully automated, there are features that can help organizations across a number of vehicle-dependent industries.

How ADAS, DMS and fleet management technology work together

For fleet managers, real-time alerts are only part of the picture. Connected fleet platforms also capture safety events, analyze driving trends and identify driver coaching opportunities that can help reduce future risk.

Paired with modern integrated video telematics supported by Driver Management Systems (DMS), fleet managers get more visibility into what happens inside and outside the vehicle. While ADAS assists drivers regarding events detected by the road-facing camera such as rolling through a stop sign or departing from the lane, DMS assists drivers regarding driving events detected by driver-facing cameras such as distraction, phone use or tiredness.

In addition, commercial ADAS and DMS solutions typically rely on two complementary layers of artificial intelligence that work together to improve driver safety.

Download our free ebook, The Road to Fleet Safety, to learn how leading fleets combine driver coaching and AI-powered technology to create lasting improvements in driver safety.

Real-time AI within the vehicle dashcam

AI running directly on the dashcam continuously analyzes the road ahead while the vehicle is operating. Because processing occurs within the camera itself, drivers receive immediate audible alerts when the system detects potential hazards, including:

  • Following another vehicle too closely
  • Forward collision risks
  • Lane departure
  • Pedestrians or cyclists entering the vehicle's path
  • Unsafe following distance

These alerts are designed to help drivers respond before a situation escalates into a collision.

Cloud-based video intelligence

After a safety event occurs, video clips and associated vehicle data are securely uploaded to the fleet management platform for additional AI analysis.

Rather than simply storing footage, the platform can automatically classify events based on severity, apply descriptive tags and organize incidents for manager review. Fleet managers gain visibility into recurring driving behaviors, helping them prioritize coaching and identify trends across individual drivers or the entire fleet.

Together, these two layers create a proactive safety workflow that combines real-time intervention with long-term performance improvement.

According to the 2026 Fleet Technology Trends Report, 74% of fleets utilizing video telematics achieved measurable improvements in driver safety.

Critical ADAS features that can improve driver safety

When it comes to the features of ADAS technology, some are already commonly used, while new technologies are on the horizon to be widely adopted by the automotive industry in the future.

Here are fifteen ADAS features that can help improve driver and road safety:

  1. Adaptive Cruise Control (ACC): This helps a driver stay at both a safe speed and a safe following distance by automatically changing cruising speed in relation to the speed of other vehicles on the road.
  2. Adaptive Light Control Systems: To help keep other drivers from being impacted by a vehicle’s headlights, this technology automatically dims headlights to a lower beam when oncoming traffic approaches and then brightens them once the traffic has passed.
  3. Automatic Emergency Braking (AEB): Autonomous emergency braking systems automatically apply brakes, without waiting for the driver to react, if an imminent forward collision is detected.
  4. Automatic Crash Notification: This technology is a communication system which is designed to alert emergency responders that a crash has occurred, as well as the location of the incident, if air bag deployment is detected.
  5. Automatic Parking: This ADAS technology helps reduce the area needed for parking by helping a driver fit into a space via turn radius and other automatic assistance. This makes parking faster and safer, even in situations where parallel parking or reverse parking are warranted.
  6. Automatic Navigation System: This uses sensor technology and integrated applications to supply real-time GPS and location data to a driver. For instance, Google Maps help with navigation and travel time when implemented via a fleet management solution.
  7. Blind Spot Monitoring: The blind spot monitor is a warning light that appears on side view mirrors, letting a driver know if there is an obstruction or another vehicle alongside which might prevent safely changing lanes, turning or exiting a parking space.
  8. Collision Avoidance Systems: These are designed to help prevent avoidable crashes. They can include front- and back-end collision warnings that stop the vehicle for a driver, as well as lane departure warnings.
  9. Driver Drowsiness Detection: This technology can learn driver patterns, monitor facial state via sensors and detect steering movements — all to ascertain if drowsy driving is occurring. If detected, it can alert a driver that it’s time to pull over and rest.
  10. Forward Collision Warning (FCW): This detects a possible collision in front of a vehicle and provides some form of a warning to the driver, whether from an audio signal, flashing warning or other alert mechanism.
  11. Hill Descent Control: This automatically applies brakes to maintain a pre-set speed to eliminate vehicle acceleration from occurring without a driver purposely pressing the accelerator.
  12. Intelligent Speed Adaptation: This technology reminds drivers to remain within posted speed limits by combining map information with GPS location to understand the speed limit where a driver is operating a vehicle and then alerting the driver to the maximum and minimum speeds to be driven in that area.
  13. Lane Departure Warning Systems (LDW): This tracks lane markings and informs drivers when they’re unintentionally drifting into another lane so that they can course correct.
  14. Night Vision Systems: This uses infrared light to help drivers see more clearly in low-light and no-light driving conditions by sensing "warm objects" ahead in the road, like animals or pedestrians, and conveying that information to the driver.
  15. Tire Pressure Monitoring: This uses sensors to continuously monitor tire air pressure and warn a driver if pressure is getting low, or if a tire goes flat, to help maintain safe driving conditions.

Turning safety insights into safer driving habits

The value of ADAS technology extends beyond real-time driver alerts. Using telematics and ADAS, fleet managers can identify patterns such as speeding, hard braking, rapid acceleration and aggressive cornering as they happen. These insights provide an opportunity for timely, data-driven coaching that reinforces safe driving habits before risky behaviors become costly incidents.

Bill Howe Plumbing was able to experience this firsthand. After noticing an increase in vehicle accidents, the organization implemented Verizon Connect Reveal to gain greater visibility into driver behavior and proactively coach employees. Managers received immediate alerts and regular safety reports highlighting risky driving events, allowing them to improve performance.

The results?

  • The average driver safety score increased from 77 to 97
  • In the year before implementing Reveal, Bill Howe Plumbing experienced 16 vehicle accidents totaling nearly $1 million in damages
  • After implementing the platform, that number fell to just two accidents
  • The company also reported lower insurance costs, reduced fuel consumption and improved vehicle utilization

Building a safer fleet with ADAS

ADAS systems have evolved from standalone vehicle features into connected safety technologies that help fleets reduce risk. By combining real-time in-cab alerts with AI-powered video analytics and driver coaching, commercial fleets can gain greater visibility into driver behavior, identify coaching opportunities earlier and foster a stronger culture of safety.

While no technology can eliminate every risk on the road, Advanced Driver Safety Systems, AI dashcams and connected fleet management platforms provide the insights fleet managers need to make more informed decisions, support safer driving habits and continuously improve fleet performance.

If you're ready to see how these capabilities can work for your fleet, request a personalized demo of Verizon Connect Reveal and explore its commercial ADAS and AI video telematics features in action.

Sources

1 NHTSA Driver Assistance Technologies

2 Aggregated Verizon Connect user data, safety critical incidents per 1000km


Alessandro Lori, PhD

Alessandro Lori, PhD, has 10+ years of experience in Web Software Development and Research in the field of data science and machine learning.


Tags: Safety, Data & Analytics

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