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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Juan, Angel A. | - |
dc.contributor.author | Freixes Puig, Alfonso | - |
dc.contributor.author | Panadero Martínez, Javier | - |
dc.contributor.author | Serrat Piè, Carles | - |
dc.contributor.author | Estrada-Moreno, Alejandro | - |
dc.contributor.other | Universitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3) | - |
dc.contributor.other | Euncet Business School | - |
dc.contributor.other | Universitat Politècnica de Catalunya (UPC) | - |
dc.contributor.other | Universitat Rovira i Virgili (URV) | - |
dc.date.accessioned | 2020-09-02T14:02:45Z | - |
dc.date.available | 2020-09-02T14:02:45Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Juan, A.A., 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. Transportation Research Procedia, 47(), 243-250. doi: 10.1016/j.trpro.2020.03.095 | - |
dc.identifier.issn | 2352-1465MIAR | - |
dc.identifier.uri | http://hdl.handle.net/10609/122046 | - |
dc.description.abstract | 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. | en |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Transportation Research Procedia | - |
dc.relation.ispartof | Transportation Research Procedia, 2020, 47() | - |
dc.relation.ispartofseries | EURO Working Group on Transportation Meeting (EWGT), Barcelona, 8-19, setembre de 2019 | - |
dc.relation.uri | https://doi.org/10.1016/j.trpro.2020.03.095 | - |
dc.rights | CC BY-NC-ND | - |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/es/ | - |
dc.subject | smart cities | en |
dc.subject | unmanned aerial vehicles | en |
dc.subject | team orienteering problem | en |
dc.subject | ciudades inteligentes | es |
dc.subject | ciutats intel·ligents | ca |
dc.subject | vehicles aeris no tripulats | ca |
dc.subject | vehículos aéreos no tripulados | es |
dc.subject | problema de orientación de equipos | es |
dc.subject | problema d'orientació d'equips | ca |
dc.subject.lcsh | Heuristics | en |
dc.title | Routing drones in smart cities: a biased-randomized algorithm for solving the team orienteering problem in real time | - |
dc.type | info:eu-repo/semantics/conferenceObject | - |
dc.subject.lemac | Heurística | ca |
dc.subject.lcshes | Heurística | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.doi | 10.1016/j.trpro.2020.03.095 | - |
dc.relation.projectID | info:eu-repo/grantAgreement/2018-1-ES01-KA103-049767 | - |
dc.relation.projectID | info:eu-repo/grantAgreement/2017-DI-066 | - |
Aparece en las colecciones: | Conferències |
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Juan_TRP_Routing_Drones.pdf | 506,07 kB | Adobe PDF | Visualizar/Abrir |
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