DC FieldValueLanguage
dc.contributor.authorSalmon, Ioannis-
dc.contributor.authorAnagnostopoulos, Theodoros-
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorTsotsolas, Nikos-
dc.contributor.authorNtalianis, Filotheos-
dc.date.accessioned2024-03-22T15:31:13Z-
dc.date.available2024-03-22T15:31:13Z-
dc.date.issued2020-05-
dc.identifiergoogle_scholar-ebAafOUAAAAJ:_FxGoFyzp5QC-
dc.identifier.issn2394-7926-
dc.identifier.otherebAafOUAAAAJ:_FxGoFyzp5QC-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/1563-
dc.description.abstractThis paper presents an autonomous Unmanned Aerial Vehicle (UAV)-enabled control system to handle accident incidents occurred by physical disasters in Smart Cities (SCs). Specifically, after a physical disaster like an earthquake or a tsunami wave several areas in SC are damaged. In these areas citizens are trapped and most of the cases hurt thus not being able to rescue themselves. However, there is not need to serve each incident with the same priority since there are cases of low, medium or high significance. In addition, SC infrastructure has a limited amount of UAVs to handle such cases. Concretely, after a trigger, like a phone call,the nearest UAV reaches a certain incident where a doctor make a remote diagnosis based on the video and audio provided by the camera and the microphone embedded in the UAV. After evaluating a high significance incident an ambulance is invoked to collect the injured citizen and transport her/him to the nearest hospital. Certain use cases are presented, which are evaluated with proposed metrics incorporated in the control system to infer the optimum use case. Such a use case is proposed to adopt by a SC infrastructure to handle a real physical disaster scenarios.en_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Applied Management Sciences and Engineering (IJAMSE)en_US
dc.sourceInternational Journal of Management and Applied Science (IJMAS) 6 (5), 19-24, 2020-
dc.subjectSmart cityen_US
dc.subjectPhysical disasteren_US
dc.subjectRecoveryen_US
dc.subjectAutonomous UAVen_US
dc.subjectControl systemen_US
dc.titleAutonomous UAVs Supporting Accident Evaluation for Smart Cities’ Recovery after Physical Disastersen_US
dc.typeArticleen_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume6en_US
dc.relation.issue5en_US
dc.identifier.spage19en_US
dc.identifier.epage24en_US
dc.linkhttps://www.iraj.in/journal/journal_file/journal_pdf/14-651-159723189019-24.pdfen_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldEngineering and Technologyen_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.languageiso639-1en-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.deptDepartment of Business Administration-
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.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0009-0006-9089-8898-
crisitem.author.orcid0000-0002-5587-2848-
crisitem.author.orcid0000-0003-4173-3780-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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