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Conference Paper: Dynamic truck-drone routing problem for multiple tasks in post-disaster scenarios
| Title | Dynamic truck-drone routing problem for multiple tasks in post-disaster scenarios |
|---|---|
| Authors | |
| Issue Date | 27-Apr-2024 |
| Abstract | This study investigates a dynamic routing problem of a truck-and-drone system for delivery and surveillance tasks in post-disaster scenarios. To maximize the number of rescued people under uncertainties, the route of trucks and drones need to keep updating. A reinforcement learning method is developed to solve the proposed problem. |
| Persistent Identifier | http://hdl.handle.net/10722/353546 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | SUN, Wenbo | - |
| dc.contributor.author | Zhang, Fangni | - |
| dc.date.accessioned | 2025-01-21T00:35:37Z | - |
| dc.date.available | 2025-01-21T00:35:37Z | - |
| dc.date.issued | 2024-04-27 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/353546 | - |
| dc.description.abstract | <p>This study investigates a dynamic routing problem of a truck-and-drone system for delivery and surveillance tasks in post-disaster scenarios. To maximize the number of rescued people under uncertainties, the route of trucks and drones need to keep updating. A reinforcement learning method is developed to solve the proposed problem.</p> | - |
| dc.language | eng | - |
| dc.relation.ispartof | The 34th Annual Production and Operations Management Society (POMS) Conference (27/04/2024-27/04/2024) | - |
| dc.title | Dynamic truck-drone routing problem for multiple tasks in post-disaster scenarios | - |
| dc.type | Conference_Paper | - |