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An improved decomposition-based heuristic for truck platooning

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  • Boshuai Zhao
  • Roel Leus

Abstract

Truck platooning is a promising transportation mode in which several trucks drive together and thus save fuel consumption by suffering less air resistance. In this paper, we consider a truck platooning system for which we jointly optimize the truck routes and schedules from the perspective of a central platform. We improve an existing decomposition-based heuristic by Luo and Larson (2022), which iteratively solves a routing and scheduling problem, with a cost modification step after each scheduling run. We propose different formulations for the routing and the scheduling problem and embed these into Luo and Larson's framework, and we examine ways to improve their iterative process. In addition, we propose another scheduling heuristic to deal with large instances. The computational results show that our procedure achieves better performance than the existing one under certain realistic settings.

Suggested Citation

  • Boshuai Zhao & Roel Leus, 2022. "An improved decomposition-based heuristic for truck platooning," Papers 2210.05562, arXiv.org, revised Feb 2023.
    • Handle: RePEc:arx:papers:2210.05562
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    References listed on IDEAS

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    9. Kishore Bhoopalam, A. & Agatz, N.A.H. & Zuidwijk, R.A., 2020. "Spatial and Temporal Synchronization of Truck Platoons," ERIM Report Series Research in Management ERS-2020-014-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
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