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arXiv · 2201.06137

Optimization Models for Autonomous Transfer Hub Networks

Chungjae Lee·Kevin Dalmeijer·Pascal Van Hentenryck
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Abstract

Autonomous trucks are expected to fundamentally transform the freight transportation industry. In particular, Autonomous Transfer Hub Networks (ATHN), which combine autonomous trucks on middle miles with human-driven on the first and last miles, are seen as the most likely deployment pathway of this technology. This paper presents three methods to optimize ATHN operations and compares them: a constraint-programming model, a column-generation approach, and a bespoke network flow method. Results on a real case study indicate that the network flow model is highly scalable and outperforms the other two approaches by significant margins.

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Chungjae Lee, Kevin Dalmeijer, Pascal Van Hentenryck. 2022-01-16. Optimization Models for Autonomous Transfer Hub Networks. https://arxiv.org/abs/2201.06137

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