Locomation Announces Results of Study on ARC Benefits

Locomation trucks on Roberto Clemente Bridge in Pittsburgh
Locomation trucks cross the Roberto Clemente Bridge in Pittsburgh. (Locomation)

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Autonomous truck technology company Locomation announced an independent environmental impact evaluation found its Autonomous Relay Convoy (ARC) system will dramatically reduce the greenhouse gas footprint, fuel consumption and operating costs of transporting goods by truck.

The evaluation by Boundless Impact Research & Analytics Inc. concluded, compared with traditional Class 8 trucks, trucks equipped with Locomation’s technology would:

• Reduce the GHG Footprint of freight transportation by 22%.

• Cut operating costs 19%.

• Decrease fuel consumption 21%.

• Lower photochemical ozone formation by 22%.

• Reduce the GHG abatement cost, or dollars per tonne of avoided greenhouse gas emissions, below any of the alternatives considered.

These conclusions are based on the ARC system’s ability to reduce truck idling by up to 90% and increase fuel efficiency by 8% on average, according to the Pittsburgh-based company.



“We are proud to be the first company to verify its green claims with an independent, third-party, science-based review, and we invite anyone making claims around environmental impact or fuel consumption to do the same,” Locomation co-founder and CEO Çetin Meriçli said in a release.

The ARC system consists of two-truck convoys that are electronically tethered. One driver operates the lead truck while a second driver rests in the follower truck, which is operating autonomously. Periodically, the trucks swap places to allow each driver to take turns leading and resting in compliance with U.S. Department of Transportation hours-of-service regulations.

The environmental impact evaluation used a Life Cycle Assessment (LCA) method that assessed the Scope 1, 2 and 3 GHG emissions of Locomation’s ARC technology. LCAs are recognized as more rigorous than other reporting methods, the company noted. — Transport Topics

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