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4040. Capacitated Multi-Enabler Transportation Network Design for Autonomous Trucks
Invited abstract in session MD-56: Optimization in transportation infrastructure design and management, stream Transportation.
Monday, 14:30-16:00Room: S04 (building: 101)
Authors (first author is the speaker)
1. | Ebrahim Mohammadi
|
Rotterdam School of Management, Erasmus University Rotterdam | |
2. | Marie Schmidt
|
Institute for Computer Science, University of Würzburg | |
3. | Rob Zuidwijk
|
Technology Operations Management, RSM Erasmus University |
Abstract
Autonomous trucking is expected to increase transportation productivity, especially for long-haul transportation. Providing infrastructure and enablers with enough capacity to support this type of transportation is essential for the successful deployment of autonomous trucks. In this paper, we investigate the capacitated transportation network design problem for autonomous trucks. We assume that the autonomous network requires several types of enablers with limited capacity to support autonomous truck transportation. A new mixed-integer linear programming model is proposed to locate various capacitated infrastructures and enablers required for long-haul autonomous transportation over multiple periods. This model strategically integrates the location decisions of multiple enablers over the planning horizon. Enablers, such as refueling stations, emergency maintenance stations, and transfer hubs, are characterized by unique operational features and capacity considerations. The model is implemented numerically on benchmark cases, such as the Sioux Falls network, and sensitivity analysis for key parameters is provided.
Keywords
- Transportation
- Network Design
- Programming, Mixed-Integer
Status: accepted
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