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Towards Realistic Urban Traffic Experiments Using DFROUTER: Heuristic, Validation and Extensions

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Towards Realistic Urban Traffic Experiments Using DFROUTER: Heuristic, Validation and Extensions

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dc.contributor.author Zambrano-Martinez, Jorge es_ES
dc.contributor.author Tavares de Araujo Cesariny Calafate, Carlos Miguel es_ES
dc.contributor.author Soler Fernández, David es_ES
dc.contributor.author Cano, Juan-Carlos es_ES
dc.date.accessioned 2018-05-14T04:19:12Z
dc.date.available 2018-05-14T04:19:12Z
dc.date.issued 2017 es_ES
dc.identifier.uri http://hdl.handle.net/10251/101892
dc.description.abstract [EN] Traffic congestion is an important problem faced by Intelligent Transportation Systems (ITS), requiring models that allow predicting the impact of different solutions on urban traffic flow. Such an approach typically requires the use of simulations, which should be as realistic as possible. However, achieving high degrees of realism can be complex when the actual traffic patterns, defined through an Origin/Destination (O-D) matrix for the vehicles in a city, remain unknown. Thus, the main contribution of this paper is a heuristic for improving traffic congestion modeling. In particular, we propose a procedure that, starting from real induction loop measurements made available by traffic authorities, iteratively refines the output of DFROUTER, which is a module provided by the SUMO (Simulation of Urban MObility) tool. This way, it is able to generate an O-D matrix for traffic that resembles the real traffic distribution and that can be directly imported by SUMO. We apply our technique to the city of Valencia, and we then compare the obtained results against other existing traffic mobility data for the cities of Cologne (Germany) and Bologna (Italy), thereby validating our approach. We also use our technique to determine what degree of congestion is expectable if certain conditions cause additional traffic to circulate in the city, adopting both a uniform pattern and a hotspot-based pattern for traffic injection to demonstrate how to regulate the overall number of vehicles in the city. This study allows evaluating the impact of vehicle flow changes on the overall traffic congestion levels. es_ES
dc.description.sponsorship This work was partially supported by Valencia’s Traffic Management Department and by the “Ministerio de Economía y Competitividad, Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad, Proyectos I+D+I 2014”, Spain, under Grant TEC2014-52690-R, and the “Programa de Becas SENESCYT”de la República del Ecuador.
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 SUMO es_ES
dc.subject DFROUTER es_ES
dc.subject Heuristic es_ES
dc.subject O-D matrix es_ES
dc.subject Intelligent transportation system es_ES
dc.subject Vehicles es_ES
dc.subject Detectors es_ES
dc.subject Computational modeling es_ES
dc.subject Mathematical model es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title Towards Realistic Urban Traffic Experiments Using DFROUTER: Heuristic, Validation and Extensions es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s17122921 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TEC2014-52690-R/ES/INTEGRACION DEL SMARTPHONE Y EL VEHICULO PARA CONECTAR CONDUCTORES, SENSORES Y ENTORNO A TRAVES DE UNA ARQUITECTURA DE SERVICIOS FUNCIONALES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Zambrano-Martinez, J.; Tavares De Araujo Cesariny Calafate, CM.; Soler Fernández, D.; Cano, J. (2017). Towards Realistic Urban Traffic Experiments Using DFROUTER: Heuristic, Validation and Extensions. Sensors. 17(12):1-29. doi:10.3390/s17122921 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/s17122921 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 29 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 17 es_ES
dc.description.issue 12 es_ES
dc.identifier.eissn 1424-8220 es_ES
dc.identifier.pmid 29244762 en_EN
dc.identifier.pmcid PMC5751570 en_EN
dc.relation.pasarela S\348767 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder Secretaría de Educación Superior, Ciencia, Tecnología e Innovación, Ecuador


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