Autonomous vehicles have the potential to reduce fuel consumption through automated acceleration and braking, platooning to reduce air resistance, vehicle design, fuel switching, routing efficiency, and traffic congestion reduction [1]. However, there is also the possibility that automation of vehicles will lead to increase in vehicle usage, and subsequently fuel consumption and emissions [1].

The effect of automation of heavy-duty vehicles can reduce energy consumption and benefit the environment, depending on the fuel source [2]. One study estimated that an automated diesel heavy duty truck reduces greenhouse gas emissions by 10 percent compared to a conventional heavy-duty truck [2]. Meanwhile, an automated battery electric heavy duty truck would reduce life cycle greenhouse gas emissions by 60 percent compared to the conventional heavy-duty truck [2]. However, there are trade-offs between fuel sources for automated heavy-duty trucks, including the mineral resource losses [2]; the battery manufacturing required for automated electric heavy-duty trucks increase mineral intensity significantly compared to automated diesel heavy-duty trucks [2]. Additionally, automation decreases energy intensity of heavy-duty trucks, which decreases through automation, the increase in power generation required for electrified heavy duty trucks may outweigh the benefits from automation [2].

Further research is needed related to the effect of different electricity generation methods on automated heavy-duty truck emissions, as well as with different vehicle design and weight assumptions. Research is also needed related to environmental effects of other heavy-duty vehicles and equipment, such as automated buses and specialized equipment.

Related Literature Reviews

See Literature Reviews on Heavy Duty Applications of Automated Vehicles

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Note: Mobility COE research partners conducted this literature review in Spring of 2024 based on research available at the time. Unless otherwise noted, this content has not been updated to reflect newer research.