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Projecting line-haul truck technology adoption: How heterogeneity among fleets impacts system-wide adoption

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Listed:
  • Guerrero de la Peña, Ana
  • Davendralingam, Navindran
  • Raz, Ali K.
  • DeLaurentis, Daniel
  • Shaver, Gregory
  • Sujan, Vivek
  • Jain, Neera

Abstract

A System-of-Systems engineering methodology is used to project truck technology adoption behaviors of heterogeneous fleets operating over the U.S. line-haul freight transportation system. A constrained mixed-integer linear program is formulated to optimize total cost of ownership of regional fleets given vehicle highway performance, fleet operations, cost of energy, and freight demand. A design-of-experiments demonstrates adoption sensitivity to economic parameters and individual fleet management constraints. Validation results demonstrate the importance of modeling fleet heterogeneity to achieving 90% prediction accuracy of historical adoption of three different vehicle architectures across 12 representative fleets over a 11-year period.

Suggested Citation

  • Guerrero de la Peña, Ana & Davendralingam, Navindran & Raz, Ali K. & DeLaurentis, Daniel & Shaver, Gregory & Sujan, Vivek & Jain, Neera, 2019. "Projecting line-haul truck technology adoption: How heterogeneity among fleets impacts system-wide adoption," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 124(C), pages 108-127.
    • Handle: RePEc:eee:transe:v:124:y:2019:i:c:p:108-127
    DOI: 10.1016/j.tre.2018.12.017
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    References listed on IDEAS

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    1. Orji, Ifeyinwa Juliet & Kusi-Sarpong, Simonov & Huang, Shuangfa & Vazquez-Brust, Diego, 2020. "Evaluating the factors that influence blockchain adoption in the freight logistics industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).

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