2587. Routing of autonomous electric vehicles recharged by drones using public lines
Invited abstract in session MB-58: Optimization with Drones, stream Vehicle Routing and Logistics.
Monday, 10:30-12:00Room: Liberty 1.13
Authors (first author is the speaker)
| 1. | Francesca Guerriero
|
| D.I.M.E.G.: Mechanical, Energy and Management Engineering, University of Calabria | |
| 2. | Luigi Di Puglia Pugliese
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| Istituto di Calcolo e Reti ad Alte Prestazioni, Consiglio Nazionale delle Rierche | |
| 3. | Giusy Macrina
|
| Department of Mechanical, Energy and Management Engineering, University of Calabria |
Abstract
This work investigates an innovative delivery framework where a fleet of autonomous electric vehicles (AEVs) with limited battery capacity have to deliver orders to customers over the last mile. Due to the limited capacity of the AEVs, finding a solution to avoid service disruptions becomes a critical factor. We propose a recharging system where the AEVs can be recharged at the customer's location by drones equipped with wireless energy transmission technology. The drones can be launched from the depot as well as from some dedicated public stations. Each drone will then complete part of its journey on the roof of the public lines. We propose a mathematical model to represent the framework, then we analyse the potential benefits of using this innovative paradigm by comparing it with the classical recharging at the charging stations. Our computational study shows the effectiveness of the proposed system.
Keywords: Electric Vehicle Routing, Drone, Wireless Power Transmission, Public Lines
Acknowledgement
This work was supported by the grants awarded by “European Union – Next Generation EU”, under the “PRIN 2022 - PNRR” project: COSMO, CUP H53D23008850001 (G. Macrina), and under the “PRIN 2022” project: SMOTION (ID 2022EAECWJ), CUP H53D23002000006 (F. Guerriero), and CUP B53D23009270006 (L. Di Puglia Pugliese).
Keywords
- Vehicle Routing
Status: accepted
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