Related: How the Autonomous Shuttle Is Gaining Traction, Fast
Autonomous Vehicles Can Increase Safety, 43% Say
Some 52% of Americans believe they are familiar with autonomous vehicles, and 57% of that group says they are willing to ride in them, according to a new HNTB America THINKS survey.

More than four in 10 Americans say safety will be a key benefit of autonomous vehicles.
Photo via Pixabay.
Some 52% of Americans believe they are familiar with autonomous vehicles, and 57% of that group says they are willing to ride in them, according to a new HNTB America THINKS survey.
Among that same group, slightly more than half (51%) believe AVs are safer than human-driven vehicles.
The survey also explored what consumers view as the key benefits of self-driving cars.
The single most important benefit cited by all survey respondents was increased mobility for non-drivers — with 52% ranking it as the top benefit. Reduced accidents and increased safety came in second, with 43% of respondents citing it as a significant benefit of AVs. Finally, improvements to the environment along with improved safety for pedestrians and bicyclists were each cited by 23% of respondents.
Noteworthy, as it concerns safety, the survey found that an overwhelming 91% of people believe self-driving cars should be required to have a person on board who could override the automation in the event of an emergency.
Another key finding: More than six in 10 Americans surveyed are concerned about the privacy of data generated by autonomous vehicles.
Conducted online by Russell Research, HNTB's America THINKS survey, Sharing the Road with Autonomous Vehicles 2019, polled a random nationwide sample of 1,018 Americans, ages 18 and older, from April 5 to 8.
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 →
