Ford Updates Safety Self-Assessment for Self-Driving Vehicles
The report emphasizes that Ford’s engineering team continues to develop a robust Automated Driving System to guide Ford’s vehicles on the road.

The report is an updated version of Ford’s original safety self-assessment issued to the DOT in 2018.
Photo courtesy of Ford.
Ford Motor Company has voluntarily issued a comprehensive report to the U.S. Department of Transportation (DOT) that outlines the way the manufacturer is approaching self-driving vehicle development, including a focus on safety.
The report is an updated version of Ford’s original safety self-assessment issued to the DOT in 2018.
The report emphasizes that Ford’s engineering team continues to work with Argo AI to advance the development of a robust Automated Driving System to guide Ford’s vehicles on the road. In fact, Ford’s self-driving vehicle systems have redundancies and are designed to be fail-functional. For instance, if one system loses operation, the automated driving system can still stop the vehicle using the redundant control or power system.
Ford’s collaboration with cities is another important way of enhancing safety. Working closely with various cities is critical, as every metropolis has unique transportation needs.
For example, Ford collaborated at the city, county, and state level to begin researching complex intersections in Miami, ultimately designing a “smart infrastructure” there. Ford says its self-driving vehicles will be fully capable of safely navigating the streets on their own. The OEM is exploring ways to provide self-driving vehicles with even more information before they approach busy or tricky intersections, giving them additional context about the activity ahead — and ultimately, boosting safety for all road users.
The report also covers safety progress as it concerns new launch markets for the self-driving cars, expanded testing and pilots, and the effects of COVID-19.
More Safety

Managing Road Risk at Scale: Why Fleet Safety Needs a Data-Driven Framework
Insights from the FIA Road and Driver Safety Indexes reveal how to manage road risk on a larger scale.
Read More →
Stellantis Recalls 1.3 Million Jeep Vehicles Worldwide Over Fire Risk
Stellantis is recalling more than 1.3 million Jeep Wrangler and Gladiator models worldwide over a fire risk linked to power steering pump wiring.
Read More →
Coaching Is Not Training, Even When AI Is Doing It
AI-powered safety platforms can detect risky behaviors and deliver immediate feedback. But effective driver development still requires a foundation of training followed by coaching that reinforces those skills.
Read More →
How Emotions Behind the Wheel Can Affect Fleet Safety
During National Safety Month, fleets are encouraged to look beyond distracted driving and recognize how stress, fatigue, and emotional well-being influence driver performance and crash risk.
Read More →
Nominations Open for 2026 Fleet Safety Award
Nominations have officially opened for the 2026 Fleet Safety Award Winner.
Read More →
Turning Connected Vehicle Data Into Decisions That Matter
Fleet leaders have more data than ever, but turning that data into clear, actionable decisions remains a challenge. This white paper shows how leading organizations are using connected vehicle data to improve safety, reduce costs, and optimize fleet performance. Learn how to turn insight into action across your fleet.
Read More →
Cameras, Safety and Insurance: From Reactive Claims to Real-time Prevention
Commercial auto remains one of the most challenging and costly lines of coverage for fleet operators and insurers alike. Learn more about how to effectively address these issues from Onur Aksan, Enterprise Business Development Executive, Geotab.
Read More →
NAFA Fleet Safety Symposium to Collocate With 2026 Fleet Forward Conference
The daylong certificate program will precede the Fleet Forward Conference at the Gaylord National Harbor in Maryland.
Read More →
The Distractions You Can’t Turn Off: What Drivers Face Outside the Vehicle
Fleet drivers face constant visual, cognitive, and environmental interruptions the moment they hit the road. From roadside chaos to mental fatigue and digital overload, today’s biggest driving risks often come from outside the vehicle itself.
Read More →
FLASH Weather AI Launches First Deep-Learning Hail Prediction Model With High-Resolution Forecasting
FLASH Weather AI has launched a first-of-its-kind hail prediction model capable of forecasting hail size and arrival time at 1-kilometer resolution up to 55 minutes ahead, giving fleets and insurers critical time to prepare for severe storms.
Read More →
