Autor segons l'article: Juan AA; Freixes A; Panadero J; Serrat C; Estrada-Moreno A
Departament: Enginyeria Informàtica i Matemàtiques
e-ISSN: 2352-1465
Autor/s de la URV: Estrada Moreno, Alejandro
Paraules clau: Unmanned aerial vehicles Team orienteering problem Smart cities
Resum: © 2020 The Authors. Published by Elsevier B.V. The concepts of unmanned aerial vehicles and self-driving vehicles are gaining relevance inside the smart city environment. This type of vehicles might use ultra-reliable telecommunication systems, Internet-based technologies, and navigation satellite services to decide about the routes they must follow to efficiently accomplish their mission and reach their destinations in due time. When working in teams of vehicles, there is a need to coordinate their routing operations. When some unexpected events occur in the city (e.g., after a traffic accident, a natural disaster, or a terrorist attack), coordination among vehicles might need to be done in real-time. Using the team orienteering problem as an illustrative case scenario, this paper analyzes how the combined use of extremely fast biased-randomized heuristics and parallel computing allows for 'agile' optimization of routing plans for drones and other autonomous vehicles.
Àrees temàtiques: Transportation Interdisciplinar Engenharias iv Engenharias iii Ciências biológicas ii Administração pública e de empresas, ciências contábeis e turismo
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: alejandro.estrada@urv.cat
Identificador de l'autor: 0000-0001-9767-2177
Data d'alta del registre: 2024-07-27
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Transportation Research Procedia. 47 243-250
Referència de l'ítem segons les normes APA: Juan AA; Freixes A; Panadero J; Serrat C; Estrada-Moreno A (2020). Routing Drones in Smart Cities: A Biased-Randomized Algorithm for Solving the Team Orienteering Problem in Real Time. Amsterdam: Elsevier
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2020
Tipus de publicació: Proceedings Paper
Repositori URV