It’s now possible for managers to virtually ride shotgun with their drivers—and that’s a good thing.
This white paper explores how artificial intelligence can help the industry humanize analytics and achieve better outcomes.
Executive order establishes national policy to safeguard positioning and navigation services.
Digitalization has taken hold across every aspect of the trucking industry, from the back office and receiving dock, to the drivers, trucks and trailers, making it difficult for carrier and freight brokerage managers to ignore. There are lots of new cloud-based options for companies within the trucking industry to digitalize and integrate their operation platforms […]
High driver turnover rates have been common in the trucking industry for several decades. Improving the quality of discussions between fleet management and drivers might help reduce the churn.
In partnership with Reliance Partners…Data analytics has been disrupting the way the freight industry works and the insurance sector will not be left behind.
In partnership with Reliance Partners …Speeding has been one of the single largest causes for road accidents. Today, technology can learn from data on dangerous driving behavior to help drivers modify their risky traits via consistent and positive feedback.
The vision for truck video systems goes beyond reducing one-time accident claims to creating more efficient, less risky fleets.
Computer vision startup Netradyne has recorded 100 million hours of driving data which would be analyzed by its AI deep learning tool to help drivers improve driving behavior and avoid incidents on the road.
Netradyne’s Driveri system records driver behaviors. A new extension of that adds real-time notifications to the driver in the cab.
NetraDyne, a company based out of San Diego, is using artificial intelligence and computer vision to track drivers through intelligent and situationally aware cameras on deck.
Netradyne is using artificial intelligence (AI) to provide fleets with the context needed to make more informed decisions surrounding distracted driving events.
