Einride and EASE to run autonomous electric trucks in Ohio

Einride and EASE Logistics will deploy two SAE Level 4 autonomous electric trucks between EASE warehouse sites in Marysville, Ohio, as part of the DriveOhio Truck Automation Corridor Project.

The proof-of-concept will operate on EASE property and local public roads, with the trucks running between warehouse locations. Operations are scheduled to begin in the summer and will generate data on warehousing, distribution, and transport performance as autonomous electric freight is tested in a live logistics environment.

The project extends the Ohio Department of Transportation and DriveOhio Truck Automation Corridor Project, developed in partnership with the Indiana Department of Transportation. The corridor is designed to evaluate automated trucking technology, freight efficiency, safety, and operational readiness across routes with commercial logistics relevance.

The vehicles are cabless, self-driving, electric trucks designed for freight transport. They will operate autonomously on the route, with remote oversight available if intervention is required. That model reflects the current direction of autonomous trucking deployment, where controlled commercial routes are paired with remote operations and defined safety procedures.

Peter Coratola Jr., president and CEO of EASE Logistics, said: “This partnership with Einride and DriveOhio allows us to lead with innovation while staying true to our core mission of making logistics safer, smarter and more sustainable.”

The Ohio deployment links autonomous trucking directly to warehouse-to-warehouse freight movement. Many autonomous freight trials have focused on highways or controlled test routes, while the commercial value of the technology depends on how effectively it connects with distribution sites, yard activity, loading schedules, and daily transport planning.

That interface between warehouse operations and transport execution can become complicated quickly. Autonomous trucks have to fit around gate processes, dock availability, trailer handling, route timing, exception management, and site safety procedures. Short, repeatable warehouse routes can therefore produce useful operating data because they test the handover points that determine whether automated freight can function commercially.

Freight decarbonisation is increasingly moving from vehicle procurement into corridor design and infrastructure planning. Long Beach’s backing for a zero-emission truck corridor shows how ports, authorities, and logistics operators are beginning to treat cleaner freight as a network issue rather than a vehicle-only decision. The Einride and EASE project adds autonomy to that discussion.

Electric autonomous trucks could support defined industrial routes where charging, duty cycles, and operating conditions are predictable. Electric drivetrains reduce local emissions on fixed routes, while automation can support asset utilisation where movements are repetitive and tightly scheduled. The combination also brings new requirements around safety validation, remote monitoring, charging management, insurance, and regulatory oversight.

Short-haul routes are likely to remain a major early deployment area. They offer clearer operating conditions than long-distance networks, with known endpoints, defined traffic patterns, and greater control over charging infrastructure. Warehouse-to-warehouse shuttles are especially suitable because they often involve repeatable movements that can be standardised before more complex route types are attempted.

The wider freight market is still some distance from large-scale autonomous truck adoption. The challenge is not only the vehicle’s ability to drive, but the operating framework around it: maintenance, insurance, incident response, dispatch integration, charging, labour planning, and public-road governance. DriveOhio’s corridor work therefore functions as operational validation, not only technology testing.

If the Marysville deployment performs reliably, it could strengthen the case for autonomous electric freight in industrial parks, logistics campuses, port-adjacent corridors, and regional distribution networks. These environments have enough repeatability to support automation while still generating the real-world data needed to move beyond controlled demonstrations.

The project gives EASE a role in shaping how autonomous freight connects with warehouse operations. For Einride, it adds another US deployment context for cabless electric freight. For the wider market, it continues the shift from speculative autonomous trucking concepts toward defined commercial lanes with measurable logistics outcomes.