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dc.contributor.author | Peyman, Mohammad | es_ES |
dc.contributor.author | Fluechter, Tristan | es_ES |
dc.contributor.author | Panadero, Javier | es_ES |
dc.contributor.author | Serrat, Carles | es_ES |
dc.contributor.author | Xhafa, Fatos | es_ES |
dc.contributor.author | Juan, Angel A. | es_ES |
dc.date.accessioned | 2024-01-30T19:01:14Z | |
dc.date.available | 2024-01-30T19:01:14Z | |
dc.date.issued | 2023-01 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/202226 | |
dc.description.abstract | [EN] Vehicular ad hoc networks (VANETs) are a fundamental component of intelligent transportation systems in smart cities. With the support of open and real-time data, these networks of inter-connected vehicles constitute an 'Internet of vehicles' with the potential to significantly enhance citizens' mobility and last-mile delivery in urban, peri-urban, and metropolitan areas. However, the proper coordination and logistics of VANETs raise a number of optimization challenges that need to be solved. After reviewing the state of the art on the concepts of VANET optimization and open data in smart cities, this paper discusses some of the most relevant optimization challenges in this area. Since most of the optimization problems are related to the need for real-time solutions or to the consideration of uncertainty and dynamic environments, the paper also discusses how some VANET challenges can be addressed with the use of agile optimization algorithms and the combination of metaheuristics with simulation and machine learning methods. The paper also offers a numerical analysis that measures the impact of using these optimization techniques in some related problems. Our numerical analysis, based on real data from Open Data Barcelona, demonstrates that the constructive heuristic outperforms the random scenario in the CDP combined with vehicular networks, resulting in maximizing the minimum distance between facilities while meeting capacity requirements with the fewest facilities. | es_ES |
dc.description.sponsorship | This work has been partially funded by the Spanish Ministry of Science (PID2019-111100RB-C21 /AEI/ 10.13039/501100011033), as well as by the Barcelona City Council and Fundacio "la Caixa" under the framework of the Barcelona Science Plan 2020-2023 (grant 21S09355-001). | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Sensors | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Vehicular networks | es_ES |
dc.subject | Smart cities | es_ES |
dc.subject | Optimization | es_ES |
dc.subject | Heuristics | es_ES |
dc.subject | Open data | es_ES |
dc.subject.classification | ESTADISTICA E INVESTIGACION OPERATIVA | es_ES |
dc.title | Optimization of vehicular networks in smart cities: from agile optimization to learnheuristics and simheuristics | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/s23010499 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111100RB-C21/ES/ALGORITMOS AGILES, INTERNET DE LAS COSAS, Y ANALITICA DE DATOS PARA UN TRANSPORTE SOSTENIBLE EN CIUDADES INTELIGENTES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ //21S09355-001C//Optimizing Carsharing and Ridesharing Mobility in Smart Sustainable Cities/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Politécnica Superior de Alcoy - Escola Politècnica Superior d'Alcoi | es_ES |
dc.description.bibliographicCitation | Peyman, M.; Fluechter, T.; Panadero, J.; Serrat, C.; Xhafa, F.; Juan, AA. (2023). Optimization of vehicular networks in smart cities: from agile optimization to learnheuristics and simheuristics. Sensors. 23(1). https://doi.org/10.3390/s23010499 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/s23010499 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 23 | es_ES |
dc.description.issue | 1 | es_ES |
dc.identifier.eissn | 1424-8220 | es_ES |
dc.identifier.pmid | 36617092 | es_ES |
dc.identifier.pmcid | PMC9824116 | es_ES |
dc.relation.pasarela | S\503423 | es_ES |
dc.contributor.funder | AJUNTAMENT DE BARCELONA | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |