Szczegóły publikacji
Opis bibliograficzny
Decision making on vehicles relocations in free-flotation car-sharing schemes / Paweł SKRZYŃSKI, Piotr SZWED, Jarosław WĄS // W: Artificial Intelligence for Knowledge Acquisition and Management : 11th IFIP WG 12.6 International Workshop, AI4KAM 2025 held at IJCAI 2025 : Montréal, QC, Canada, August 16-17, 2025 : revised selected papers / eds. Maciej Pondel, [et al.]. — Cham : Springer Nature Switzerland, cop. 2026. — ( IFIP Advances in Information and Communication Technology ; ISSN 1868-4238 ; vol. 776 ). — ISBN: 978-3-032-18919-6; e-ISBN: 978-3-032-18920-2. — S. 166–172. — Bibliogr., Abstr. — Publikacja dostępna online od: 2026-04-01
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 167850 |
|---|---|
| Data dodania do BaDAP | 2026-06-29 |
| DOI | 10.1007/978-3-032-18920-2_15 |
| Rok publikacji | 2026 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | IFIP Advances in Information and Communication Technology |
Abstract
This paper addresses the Vehicle Relocation Problem (VReP) in free-floating car-sharing systems, focusing on real-time strategies to address demand-supply imbalances. We propose a solution combining AI-based demand and vehicle availability prediction with decision-making algorithms for staff-assisted relocations. Using data from Kraków, Poland, the service area is divided into zones to enable discrete optimization. Experiments with multiple algorithms show significant improvements in fleet management over non-optimized approaches. The results demonstrate the value of predictive models in improving the efficiency and competitiveness of car-sharing systems.