Arizona Uses Road Sensors to Spot Ice Before It Forms
Sensors installed at three locations along Interstate 40 west of Flagstaff, Ariz., are helping the Arizona Department of Transportation detect and address icy road conditions before they are present.
by Staff
February 15, 2017
Photo via Arizona Department of Transportation
2 min to read
Photo via Arizona Department of Transportation
Sensors installed at three locations along Interstate 40 west of Flagstaff, Ariz., are helping the Arizona Department of Transportation detect and address icy road conditions before they are present.
The roadway sensors are connected to ADOT Road Weather Information System locations that use cameras and instruments to provide up-to-date conditions.
Ad Loading...
Each location has a sensor to measure the salt content of road surface moisture, which affects the freezing point. Another sensor is used to measure the temperature of the ground underneath the road.
The information is combined with data from the Road Weather Information System and National Weather Service to forecast the likelihood of ice forming. The program can also alert operators if the pavement temperature drops below a certain threshold. This helps ADOT determine whether to send crews out to spread deicing material.
“Technology can provide us with another way to keep motorists safe as they travel to Arizona’s colder regions,” said Audra Merrick, district engineer for ADOT’s north central district. “These sensors are another tool in ADOT’s toolbox to help keep the highways clear of snow and ice during winter season.”
Interstate 40 between Ash Fork and Flagstaff is more susceptible to icy roads due to its high elevation and freezing overnight temperatures. The road is also a priority because it see’s heavy traffic from commercial and passenger vehicles, according to ADOT.
So far, ADOT says that the data has been so helpful that it plans to install more sensors at additional high-country locations in the next few years. The three sensors cost $90,000 and were funded through ADOT maintenance funds.
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.