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The identical-path truck platooning problem

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  • Boysen, Nils
  • Briskorn, Dirk
  • Schwerdfeger, Stefan

Abstract

Platooning has been identified as a promising way to reduce the carbon footprint and fuel consumption of freight transportation. Recent technological developments connecting a platoon via digital data transmission even allow that the driver of the front truck controls all (unmanned) follower vehicles. Existing research mainly focuses on the technological and safety aspects of controlling the trucks and their distances. However, the efficiency of platooning is not only dependent on the aerodynamic drag, which considerably reduces with decreasing inter-vehicle distance; it is also influenced by the platoon formation process. To explore the impact of this and other neglected aspects on the efficiency of platooning (i.e., the diffusion of platooning technology, maximum platoon lengths, and the trucks’ willingness-to-wait for partners) a basic scheduling problem for the platoon building process along a single path is investigated. By differentiating problem characteristics, e.g., the objective function, we derive different problem settings for which a detailed analysis of computational complexity is provided. Efficient algorithms are derived and applied to explore the impact of the diffusion of platooning technology, the maximum platoon length, and the tightness of time windows. Our results show that these factors can considerably reduce the positive effects of truck platooning, and, thus, the benefit may diminish.

Suggested Citation

  • Boysen, Nils & Briskorn, Dirk & Schwerdfeger, Stefan, 2018. "The identical-path truck platooning problem," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 26-39.
    • Handle: RePEc:eee:transb:v:109:y:2018:i:c:p:26-39
    DOI: 10.1016/j.trb.2018.01.006
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    References listed on IDEAS

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    1. Li, Baibing, 2017. "Stochastic modeling for vehicle platoons (I): Dynamic grouping behavior and online platoon recognition," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 364-377.
    2. Hande Yaman & Oya Ekin Karasan & Bahar Y. Kara, 2012. "Release Time Scheduling and Hub Location for Next-Day Delivery," Operations Research, INFORMS, vol. 60(4), pages 906-917, August.
    3. Dekker, Rommert & Bloemhof, Jacqueline & Mallidis, Ioannis, 2012. "Operations Research for green logistics – An overview of aspects, issues, contributions and challenges," European Journal of Operational Research, Elsevier, vol. 219(3), pages 671-679.
    4. Bhoopalam, Anirudh Kishore & Agatz, Niels & Zuidwijk, Rob, 2018. "Planning of truck platoons: A literature review and directions for future research," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 212-228.
    5. Browand, Fred & McArthur, John & Radovich, Charles, 2004. "Fuel Saving Achieved in the Field Test of Two Tandem Trucks," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt29v570mm, Institute of Transportation Studies, UC Berkeley.
    6. Nils Boysen & Dirk Briskorn & Simon Emde, 2016. "Just-in-time vehicle scheduling with capacity constraints," IISE Transactions, Taylor & Francis Journals, vol. 48(2), pages 134-145, February.
    7. Boysen, Nils & Briskorn, Dirk & Emde, Simon, 2016. "Just-in-time vehicle scheduling with capacity constraints," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 79431, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    8. Li, Baibing, 2017. "Stochastic modeling for vehicle platoons (II): Statistical characteristics," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 378-393.
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