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Infrastructure for the Enhancement of Urban Fleet Simulation

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Infrastructure for the Enhancement of Urban Fleet Simulation

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dc.contributor.author Martí, Pasqual es_ES
dc.contributor.author Jordán, Jaume es_ES
dc.contributor.author De la Prieta, Fernando es_ES
dc.contributor.author Billhardt, Holger es_ES
dc.contributor.author Julian, Vicente es_ES
dc.date.accessioned 2023-01-09T07:38:28Z
dc.date.available 2023-01-09T07:38:28Z
dc.date.issued 2021-04-29 es_ES
dc.identifier.isbn 978-3-030-78900-8 es_ES
dc.identifier.issn 2367-3370 es_ES
dc.identifier.uri http://hdl.handle.net/10251/191068
dc.description.abstract [EN] When it comes to urban fleet simulation, there are many factors which determine the quality of the outcome. Without real-world data on which to ground the setup, the results are not guaranteed to be useful. In addition, the coordination mechanisms for agents must be flexible and give the chance to agents to act following their own interests, as most of the urban traffic system users do. In this work we present an infrastructure for the simulation of urban fleets which deals with two challenges: realistic data generation, and self-interested agent coordination. Our infrastructure aims to ease the setup and execution of more realistic simulations in the urban traffic domain. es_ES
dc.description.sponsorship This work was partially supported by MINECO/FEDER RTI2018-095390-B-C31 project of the Spanish government. es_ES
dc.language Inglés es_ES
dc.publisher Springer es_ES
dc.relation.ispartof Sustainable Smart Cities and Territories. Lecture Notes in Networks and Systems (LNNS, volume 253) es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Simulation es_ES
dc.subject Transportation es_ES
dc.subject Electric vehicle es_ES
dc.subject Planning es_ES
dc.subject Smart city es_ES
dc.subject Urban fleets es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Infrastructure for the Enhancement of Urban Fleet Simulation es_ES
dc.type Comunicación en congreso es_ES
dc.type Artículo es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1007/978-3-030-78901-5_23 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095390-B-C31/ES/HACIA UNA MOVILIDAD INTELIGENTE Y SOSTENIBLE SOPORTADA POR SISTEMAS MULTI-AGENTES Y EDGE COMPUTING/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Martí, P.; Jordán, J.; De La Prieta, F.; Billhardt, H.; Julian, V. (2021). Infrastructure for the Enhancement of Urban Fleet Simulation. Springer. 263-273. https://doi.org/10.1007/978-3-030-78901-5_23 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename Sustainable Smart Cities and Territories International Conference (SSCt 2021) es_ES
dc.relation.conferencedate Abril 27-29,2021 es_ES
dc.relation.conferenceplace Doha, Qatar es_ES
dc.relation.publisherversion https://doi.org/10.1007/978-3-030-78901-5_23 es_ES
dc.description.upvformatpinicio 263 es_ES
dc.description.upvformatpfin 273 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\450246 es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.description.references Adnan, M., et al.: Simmobility: a multi-scale integrated agent-based simulation platform. In: 95th Annual Meeting of the Transportation Research Board Forthcoming in Transportation Research Record (2016) es_ES
dc.description.references Bazzan, A.L., Klügl, F.: A review on agent-based technology for traffic and transportation. Knowl. Eng. Rev. 29(3), 375 (2014) es_ES
dc.description.references Behrisch, M., Bieker, L., Erdmann, J., Krajzewicz, D.: Sumo-simulation of urban mobility: an overview. In: Proceedings of SIMUL 2011, The Third International Conference on Advances in System Simulation. ThinkMind (2011) es_ES
dc.description.references Escrivà, M., Palanca, J., Aranda, G.: A jabber-based multi-agent system platform. In: Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2006, pp. 1282–1284. Association for Computing Machinery, New York (2006). DOI https://doi.org/10.1145/1160633.1160866 es_ES
dc.description.references Fellendorf, M.: Vissim: A microscopic simulation tool to evaluate actuated signal control including bus priority. In: 64th Institute of Transportation Engineers Annual Meeting, vol. 32, pp. 1–9. Springer, Cham (1994) es_ES
dc.description.references Hofmann, L.M., Chakraborty, N., Sycara, K.: The evolution of cooperation in self-interested agent societies: a critical study. In: The 10th International Conference on Autonomous Agents and Multiagent Systems, vol. 2, pp. 685–692 (2011) es_ES
dc.description.references Inturri, G., et al.: Taxi vs. demand responsive shared transport systems: an agent-based simulation approach. Transp. Policy 103, 116–126 (2021). https://doi.org/10.1016/j.tranpol.2021.01.002 es_ES
dc.description.references Jordán, J., Onaindía, E.: Game-theoretic approach for non-cooperative planning. In: Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), pp. 1357–1363 (2015) es_ES
dc.description.references Jordán, J., Torreño, A., de Weerdt, M., Onaindia, E.: A better-response strategy for self-interested planning agents. Appl. Intell. 48(4), 1020–1040 (2017). https://doi.org/10.1007/s10489-017-1046-5 es_ES
dc.description.references Jordán, J., Torreño, A., De Weerdt, M., Onaindia, E.: A non-cooperative game-theoretic approach for conflict resolution in multi-agent planning. Group Decis. Negot. (2020). https://doi.org/10.1007/s10726-020-09703-0 es_ES
dc.description.references Lin, R., Kraus, S., Shavitt, Y.: On the benefits of cheating by self-interested agents in vehicular networks. In: Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems, pp. 1–8 (2007) es_ES
dc.description.references Martí, P., Jordán, J., Palanca, J., Julian, V.: Load generators for automatic simulation of urban fleets. In: De La Prieta, F., et al. (eds.) PAAMS 2020. CCIS, vol. 1233, pp. 394–405. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-51999-5_33 es_ES
dc.description.references Monderer, D., Shapley, L.S.: Potential games. Games Econ Behav. 14(1), 124–143 (1996) es_ES
dc.description.references Monteiro, C.M., et al.: Optimization of carsharing fleet size to maximize the number of clients served. Comput. Environ. Urban Syst. 87, 101,623 (2021). https://doi.org/10.1016/j.compenvurbsys.2021.101623 es_ES
dc.description.references Palanca, J., Terrasa, A., Carrascosa, C., Julián, V.: SimFleet: a new transport fleet simulator based on MAS. In: De La Prieta, F., et al. (eds.) PAAMS 2019. CCIS, vol. 1047, pp. 257–264. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-24299-2_22 es_ES
dc.description.references Saint-Andre, P.: Extensible messaging and presence protocol (xmpp): Core. RFC 6120, RFC Editor (2011). http://www.rfc-editor.org/rfc/rfc6120.txt es_ES
dc.description.references W Axhausen, K., Horni, A., Nagel, K.: The Multi-Agent Transport Simulation MATSim. Ubiquity Press, London (2016) es_ES


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