This summer will see construction of a new outdoor test facility for autonomous and networked vehicles on the north campus of the University of Michigan.
Ad Loading...
The simulated town, located on 32 acres, will include a city center and four-lane highway, university officials said. U-M's Mobility Transformation Center will operate the facility, which will allow researchers to test self-driving cars in challenging road conditions.
The facility will also feature merge lanes, stoplights, intersections, roundabouts, road signs, a railroad crossing, building facades, construction barrels and eventually a mechanical pedestrian.
Michigan engineering researchers will initially use the facility to conduct tests on an automated Ford Fusion hybrid. Ford Motor Co. and U-M researchers are collaborating on developing sensors and mapping technology for the car.
Other industry members of the Mobility Transformation Center already include Bosch, Econolite, General Motors, Toyota and Xerox.
To watch a NewsyTech video report about the test facility, click on the photo or link above.
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.