2022/01/16 by Chungjae Lee, Lee, Chungjae, Kevin Dalmeijer +3
Engineering · Mathematics · #Advanced Manufacturing and Logistics Optimization #FOS: Mathematics #Optimization and Control (math.OC) #Transportation and Mobility Innovations #Vehicle Routing Optimization Methods #math.OC
paper · pdf · doi:10.48550/arxiv.2201.06137
8 pages, 7 figures, 2 tables. arXiv admin note: text overlap with arXiv:2110.12327
arxiv created 2022/01/16 · openalex publication_date 2022/01/16 · arxiv updated 2022/01/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.