Report Outlines Self-Driving Vehicle Technologies, Legal Impact, and Scenarios for Adoption
ANN ARBOR, MI – The Center for Automotive Research (CAR) and tax and audit firm KPMG have released a study that discusses where autonomous vehicle technology is at currently and how this technology could change the automotive landscape even sooner than many expect.
ANN ARBOR, MI – The Center for Automotive Research (CAR) and tax and audit firm KPMG have released a study that discusses where autonomous vehicle technology is at currently and how this technology could change the automotive landscape even sooner than many expect.
You can view the PDF of the report here.
CAR and KPMG said the report’s findings are based on interviews with technologists, automotive industry leaders, academicians, regulators, and on industry trend analysis. Some of the factors the report outlines that are driving the trend toward autonomous vehicle technology include less space on roads globally, and less space to build roads, a younger, digitally inclined generation, the toll on people and societies from accidents caused by driver error, and the sheer amount of productive time lost due to sitting in traffic (for example, the average American commuter spends 250 hours a year behind the wheel of a vehicle, the report states).
In terms of advances toward self-driving cars, the report notes that Google has an autonomous vehicle fleet that has already logged more than 200,000 miles on U.S. roads. It also notes that automotive, high-tech companies, and the U.S. Department of Transportation are focusing on the potential to use connected-vehicle communication technologies for collision avoidance and traffic management.
The report goes on to describe the current state of self-driving vehicle technologies, outlines possible scenarios for autonomous vehicle adoption, and provides commentary on developing a legal framework to deal with the changes widespread adoption of these vehicles would cause.
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 →
