A University of Michigan survey finds that more than three-quarters of people are at least slightly concerned about autonomous vehicle hacking that could threaten safety.
by Staff
February 24, 2017
Graphic courtesy of U-M Transportation Research Institute.
2 min to read
Graphic courtesy of U-M Transportation Research Institute.
Most Americans are concerned that self-driving cars might be hacked to cause crashes, disable the vehicle in some way or even be used as weapons by terrorists, according to researchers at the University of Michigan.
What’s more, many people are at least a little worried that autonomous vehicles could be hacked to gain access to personal data. But most Americans have these same cybersecurity concerns about conventional vehicles, according to Michael Sivak and Brandon Schoettle of the U-M Transportation Research Institute.
Ad Loading...
Using an online survey of more than 500 Americans, the researchers asked respondents how concerned they are about hackers gaining access to personally owned self-driving and conventional vehicles.
The researchers found that 76% to 88% of people are at least slightly concerned that self-driving vehicles could be hacked to cause crashes, or to disable many vehicles simultaneously or disable the vehicles’ main traffic-management systems. More than 40% reported they are very or extremely concerned.
A total of 33% of survey respondents indicated they are extremely concerned that self-driving vehicles could be hacked to cause crashes.
About a third of respondents also indicated they are at least somewhat concerned that hackers of conventional vehicles could cause crashes, disable vehicles or use them for acts of terror, or to gain access to personal data.
“Hacking of vehicles is even a concern for conventional vehicles,” Sivak said. “But hacking of self-driving vehicles with controls is of greater concern, and hacking of self-driving vehicles without controls is an even greater concern.”
Ad Loading...
The researchers also found that women and older people are more likely to have strong concerns about cybersecurity than others.
Distracted driving remains one of the most persistent risks in fleet operations. New approaches focus on removing mobile device use entirely while adding real-time safety support.
As distraction risks evolve, fleets are turning to smarter, more connected technologies to better understand what’s happening behind the wheel. Part 2 explores how these tools are helping identify risky behaviors and improve visibility across operations.
Distracted driving is often measured by what we can see—phones in hand, eyes off the road. But what about the distractions we can’t? A recent incident raises a bigger question about awareness, attention, and why subtle risks so often go unnoticed.
Fleets have more driver data than ever, so why isn't behavior changing? Training requires more than reports and coaching — it requires real-world practice.
A two-part conversation with Stefan Heck on how AI is transforming the fight against distracted driving. As fleets adopt smarter tools, the focus shifts from reacting to preventing risk. In Part 1, we look at where AI is making an impact for fleets today.
An 11% drop in pedestrian fatalities in early 2025 signals progress in U.S. road safety, but elevated death rates and ongoing risks underscore the need for continued action from fleets and policymakers.