| Autor: |
Chungjae Lee, Kevin Dalmeijer, Pascal Van Hentenryck, Peibo Zhang |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
EURO Journal on Transportation and Logistics, Vol 13, Iss , Pp 100141- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2192-4384 |
| DOI: |
10.1016/j.ejtl.2024.100141 |
| Popis: |
Autonomous trucks are expected to fundamentally transform the freight transportation industry. In particular, Autonomous Transfer Hub Networks (ATHNs), which combine autonomous trucks on middle miles with human-driven trucks on the first and last miles, are seen as the most likely deployment pathway for this technology. This paper presents a framework to optimize ATHN operations and evaluate the benefits of autonomous trucking. By exploiting the problem structure, this paper introduces a flow-based optimization model for this purpose that can be solved by blackbox solvers in a matter of hours. The resulting framework is easy to apply and enables the data-driven analysis of large-scale systems. The power of this approach is demonstrated on a system that spans all of the United States over a four-week horizon. The case study quantifies the potential impact of autonomous trucking and shows that ATHNs can have significant benefits over traditional transportation networks. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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