DC FieldValueLanguage
dc.contributor.authorAnagnostopoulos, Theodoros-
dc.contributor.authorPsaromiligkos, Ioannis (Yannis)-
dc.date.accessioned2024-03-28T08:12:31Z-
dc.date.available2024-03-28T08:12:31Z-
dc.date.issued2023-08-17-
dc.identifierscopus-85171131496-
dc.identifier.isbn978-3-031-34892-1-
dc.identifier.isbn978-3-031-34891-4-
dc.identifier.other85171131496-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/1637-
dc.description.abstractAutonomous Unmanned Aerial Vehicle (UAV) technology is able to serve physical disaster recovery needs in Smart Cities (SC). Such critical situations require instant treatment to avoid scaling of the disaster in the whole area of a city. In case of a physical disaster such as a fire in the SC infrastructure is possible to lead to a high coverage area damage. Fire expansion may produce serious problems in disaster recovery and should be treated accordingly by certain municipality fightfighters which are dedicated to extinguish such fires. However, firefighters, vehicles, and UAVs that are available to treat a fire in the city are limited and cannot serve all the areas simultaneously thus transforming the upcoming situation to a resource allocation problem. In this paper, to handle such a problem there is not a need to serve each incident with the same priority since there are cases of low, medium, or high significance. Specifically, SC infrastructure has a limited number of UAVs to heal certain fire cases. On a trigger occurrence, such as a phone call from a fire section area, the nearest UAV reaches a certain fire incident where the assigned personnel at the SC control center assess the severity of the problem based on the video and audio provided by the camera and the microphone embedded in the UAV. Dedicated personnel then evaluate if it is a high significance fire incident and a vehicle with assigned firefighters is invoked to reach and fix the problem in real time.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofMulticriteria Decision Aid and Resource Management: Recent Research, Methods and Applicationsen_US
dc.relation.ispartofseriesMultiple Criteria Decision Makingen_US
dc.subjectControl systemen_US
dc.subjectDisaster recoveryen_US
dc.subjectFireen_US
dc.subjectSmart cityen_US
dc.subjectUAV technologyen_US
dc.titleFire Disaster Recovery and Resource Allocation Enabled by Firefighters’ Sustainable UAV Technology in Smart Citiesen_US
dc.typeBook Chapteren_US
dc.identifier.doi10.1007/978-3-031-34892-1_2en_US
dc.identifier.scopus2-s2.0-85171131496-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage19en_US
dc.identifier.epage32en_US
dc.linkhttps://www.researchgate.net/publication/373179105_Fire_Disaster_Recovery_and_Resource_Allocation_Enabled_by_Firefighters'_Sustainable_UAV_Technology_in_Smart_Citiesen_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeBook Chapter-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-5587-2848-
crisitem.author.orcid0000-0002-8420-8663-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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