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A micro-economic model of the market uptake of truck platooning

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  • Aboulkacem, El Mehdi
  • Combes, François

Abstract

Truck platooning is a technology allowing trucks to travel in convoy formation using wireless communications and advanced driver assistance systems. This technology is expected to increase road safety and capacity, and to decrease fuel consumption and GHG emissions; it comes with apparently important financial benefits and positive externalities. However, forecasting the market uptake of platooning is a complex economic issue, requiring a dedicated methodology.

Suggested Citation

  • Aboulkacem, El Mehdi & Combes, François, 2023. "A micro-economic model of the market uptake of truck platooning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 178(C).
  • Handle: RePEc:eee:transe:v:178:y:2023:i:c:s1366554523002570
    DOI: 10.1016/j.tre.2023.103269
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    References listed on IDEAS

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    1. Talebian, Ahmadreza & Mishra, Sabyasachee, 2022. "Unfolding the state of the adoption of connected autonomous trucks by the commercial fleet owner industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    2. Steven C. Salop, 1979. "Monopolistic Competition with Outside Goods," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 141-156, Spring.
    3. Larsen, Rune & Rich, Jeppe & Rasmussen, Thomas Kjær, 2019. "Hub-based truck platooning: Potentials and profitability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 249-264.
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    Cited by:

    1. Wang, Xuan & Qin, Hongmao & Bian, Yougang & Zhao, Dezong & Zheng, Nan, 2025. "String stability under general topologies for CAVs: A coupled sliding surface-based distributed TMPC approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 194(C).
    2. Wang, Yilin & Zhang, Junlong, 2025. "The full truckload pickup and delivery problem with truck platooning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 193(C).
    3. Liu, Ying & Xu, Qing & Wang, Guangwei & Liu, Yi & Cai, Mengchi & Chen, Chaoyi & Wang, Jianqiang & Yin, Guodong, 2025. "A delay-resistant cloud supported control model for Optimizing vehicle platooning operation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 194(C).

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