Characterizing the Payback and Profitability for Automated Heavy Duty Vehicle Platooning

Vivek Sujan, Perry T. Jones and Adam Siekmann
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Vivek Sujan: National Transportation Research Center, Oak Ridge National Laboratory, Oak Ridge, TN 37932, USA
Perry T. Jones: National Transportation Research Center, Oak Ridge National Laboratory, Oak Ridge, TN 37932, USA
Adam Siekmann: National Transportation Research Center, Oak Ridge National Laboratory, Oak Ridge, TN 37932, USA

Sustainability, 2022, vol. 14, issue 4, 1-35

Abstract: Heavy duty vehicle platooning under highway operating conditions has been projected to provide significant fuel economy gains based on aerodynamic drag improvements of the platooning vehicles. Realizing these benefits and the economic viability under real-world operating conditions presents several challenges. The objective of this paper (the third as part of a series) is to analytically quantify the payback and profitability of heavy-duty vehicles platooning across the U.S. Interstate highway system. In this paper, a rigorous assessment of several factors that influence the platooning system payback for an end-user as well as the revenue potential for suppliers who may be utilizing an equipment lease model dependent on end-user savings, is presented. In this assessment key interactions explored include market adoption rates, platooning velocities, platoon-able daily mileage, platooning likelihood, variations in baseline powertrain fuel economy (diesel or electric), price of fuel (diesel or electricity), platooning fuel economy benefits, price of the added technology, and the impact of natural platooning due to traffic interactions. Further, the paper explores the economic impact of higher levels of vehicle automation for the trailing vehicles in the platoon, where extending the driver Hours of Service (HoS) may provide additional financial benefits. While the approach makes use of a limited fidelity vehicle analytical model for longitudinal dynamics and operations economics, the narrative provides application decision personnel with a mechanism and well-defined set of impact factors to consider as part of their architectural selection process.

Keywords: platooning; traffic; payback; profitability; revenue; automation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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