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% 21%, and Fuel Consumption by 19%, Operating Costs by 22The ARC system will reduce a truck’s GHG footprint by 

Locomation’s ARC system consists of two-truck convoys that are electronically tethered. The Human-Guided AutonomySM solution enables one driver to operate 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. Locomation enables carriers to safely operate two trucks for 20-22 hours per day, delivering double the cargo, faster, and twice the distance. 

The evaluation, by Boundless Impact Research & Analytics, Inc, a leading firm for credible assessments of corporate environmental claims, concluded that compared to 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%; and
  • 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.

The environmental impact evaluation utilized 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 far more rigorous than other reporting methods. 

Boundless researched and modeled the material, energy, and performance characteristics for Locomation’s ARC system based on detailed information provided by Locomation that described the material components and energy consumption impacts, and labor, and cost implications. At the core of the methodology is an LCA model for the transportation of goods by a long-haul Class 8 truck carrying 1 tonne of goods for 1 kilometer (tkm) on a highway.

The Boundless Impact Score is a summary of the five Environmental Key Performance Indicators listed above. Locomation scored best in each EKPI compared to the alternative technologies listed in the report. As a result, Boundless awarded Locomation its highest possible score for positive environmental impact, a ten out of ten (10/10) on per-unit impact. 

“Our environmental impact assessment of Locomation’s technology provided a science-based and independent critique and comparison of the environmental benefits of several trucking technologies,” said Boundless Director of Research Bret Strogen. “Locomation’s autonomous trucking system would offer a significant environmental improvement over other common fuel reduction technologies such as Cooperative Adaptive Cruise Control and Idle Reduction Technology.” 

According to their evaluation, the ARC system was the most cost-effective means to reduce emissions, lower operating costs, and does not require a price on carbon to be economically viable. 

Locomations’s strategy and practices align with its supply chain partners’ sustainability goals by contributing to the UN’s Sustainable Development Goals related to health effects, innovation, sustainable production, and climate action.

Locomation is preparing to be the first autonomous trucking technology company to safely, legally, and routinely engage in commercial operations at scale in the United States with its ARC system starting in late 2022 with Wilson Logistics and following with PGT Trucking in 2023. 

About Locomation:
Locomation is re-engineering the world’s supply chain for autonomy by developing a portfolio of AV products and a suite of tools that enable our clients to implement an operating model designed for autonomous vehicles. Launched in 2018 by veterans of Carnegie Mellon’s National Robotics Engineering Center, the Locomation team includes some of the world’s foremost experts in robotics technology, artificial intelligence, trucking, freight optimization, safety, and automotive. 

Learn more at or follow us on Twitter at @LocomationAI or on LinkedIn at

Accompanying photo for this release.