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dc.contributor.authorBalboa Marras, Adriana
dc.contributor.authorAbreu Menéndez, Orlando Víctor
dc.contributor.authorGonzález Villa, Javier
dc.contributor.authorAlvear Portilla, Daniel
dc.date.accessioned2022-09-22T07:19:04Z
dc.date.available2022-09-22T07:19:04Z
dc.date.issued2021-07
dc.identifier.isbn978-84-18465-12-3
dc.identifier.urihttp://hdl.handle.net/10259/7006
dc.descriptionTrabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de Burgoses
dc.description.abstractNowadays, a major safety challenge in rail transport is to manage the incidents and emergencies in the most efficient possible way. The current contingency plans tend to be based on static procedures not taking into account how real-time conditions affect them. Consequently, the decision-making process may well suffer delays and the possibility of occurrence for human mistakes could raise since the required measures are expected to be carried out under important pressure. In this study, focused on commuter trains, railway safety is enhanced by a new intelligent emergency management system which aims to support the operator tasks in a real-time incident or emergency situation. This cyberphysical system is composed by two main modules: one on board the train, including sensors and GPS, and other integrated in the control centre addressing four computational models. Those models cover (1) the detection of different types of incidents/emergencies using the information received from on board sensors, (2) the calculation of the evacuation process (if necessary), (3) the selection, estimation of routes and communication with emergency services required for each event, and finally (4) a provision of actions to support the operator decisions. Communication between modules is provided by GPRS due to actual technology available in the pilot trains. This system has been implemented in an actual railway line in Cantabria (Santander-Cabezón de la Sal) and three practical demonstrations were defined based on several use cases, which were tested using a pilot facility incorporating all sensors and devices installed in those trains. Results demonstrated the benefits of the new system.en
dc.description.sponsorshipThe authors would like to thank the Ministry of Economy, Industry and Competitiveness (MINECO) for funding the SIGNAL project on the frame of the Subprogram RETOSCOLABORACIÓN 2016 call (Ref-RTC-2016-5474-4), as well as the European Union through ERDF funding under the objective of Strengthening Research, Technological Development and Innovation and also to SETELSA company for their partnership, dedication and support for the developing of the project.en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherUniversidad de Burgos. Servicio de Publicaciones e Imagen Institucionales
dc.relation.ispartofR-Evolucionando el transportees
dc.relation.urihttp://hdl.handle.net/10259/6490
dc.subjectSeguridades
dc.subjectSafetyen
dc.subjectFerrocarrileses
dc.subjectRailwaysen
dc.subjectTransporte de mercancíases
dc.subjectTransportation of goodsen
dc.subject.otherIngeniería civiles
dc.subject.otherCivil engineeringen
dc.subject.otherTransporteses
dc.subject.otherTransportationen
dc.titleIntelligent emergency management system for railway transporten
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.publisherversionhttps://doi.org/10.36443/9788418465123es
dc.identifier.doi10.36443/10259/7006
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/RTC-2016-5474-4/ES/SIGNAL- Sistema Inteligente de Gestión de iNcidenciAs en ferrocarriLes de cercaníases
dc.page.initial2761es
dc.page.final2776es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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