
Fleet and vendor executives described how AI video and connected vehicle data are winning over drivers who were initially skeptical, according to Transport Topics. The comments came during an Oct. 19 session titled "The Rise of Physical AI in Trucking" at the American Trucking Associations' Management Conference & Exhibition in Charlotte, N.C.
Panelists were Austin Henderson, vice president of innovation and engineering at Werner Enterprises and FirstFleet; Jared Whitson, senior director of safety and compliance at Bennett Family of Cos.; and Gary Johnson, head of safety and compliance strategy at Motive.
Driver acceptance
Henderson said a driver who had been skeptical of AI later admitted that a distracted-driving alert saved his life. In that case, the system detected the distraction and notified the back office, and staff contacted the driver and talked him through it. The driver later watched the video and recognized the danger.
Henderson also described a veteran driver who opposed the technology until video showed he was not at fault in a highway incident.
He said the hard work begins after cameras and software are installed. "This is a cultural conversation more than it is necessarily a technical conversation," he said. Companies need to explain what they are doing and why, he added, or employees may assume the technology is meant to replace them.
Coaching and review
Henderson described self-coaching workflows that prompt drivers to review video soon after an event. He said about 97% of the videos in the company's process are viewed the same day the event occurs. The company also uses digital avatars of regional safety managers to deliver coaching with familiar faces and voices.
Whitson said Bennett uses forward-facing cameras on about 2,500 trucks, mainly to detect and review events. Back-office staff can spend four or five minutes researching an event to decide whether it is a violation. He said AI can assemble the relevant information and offer a recommendation, reducing the review to a check of about 30 seconds.
Fueling and maintenance
Henderson described a prescriptive fueling tool that uses current fuel prices, fuel levels and truck location to make recommendations in real time. If a driver misses a planned stop, the system suggests the next best option.
Whitson described a location-based alert that notifies staff when a truck with a critical fault code enters a shop geofence. He said the system could eventually generate a repair work order.
Advice to fleets
The panel urged a measured approach: invest in reliable systems, communicate clearly and make sure data can connect across platforms. "AI doesn't replace judgment," Johnson said. "It protects time for it."
Sources
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