SmartEscape: A Mobile Smart Individual Fire Evacuation System Based on 3D Spatial Model

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dc.authoridDemiral, Emrullah/0000-0001-7633-5761
dc.authoridATILA, UMIT/0000-0002-1576-9977
dc.authoridORTAKCI, Yasin/0000-0002-0683-2049
dc.authoridKaras, Ismail Rakip/0000-0001-5934-3161
dc.contributor.authorAtila, Umit
dc.contributor.authorOrtakci, Yasin
dc.contributor.authorOzacar, Kasim
dc.contributor.authorDemiral, Emrullah
dc.contributor.authorKaras, Ismail Rakip
dc.date.accessioned2024-09-29T16:08:06Z
dc.date.available2024-09-29T16:08:06Z
dc.date.issued2018
dc.departmentKarabük Üniversitesien_US
dc.description.abstractWe propose SmartEscape, a real-time, dynamic, intelligent and user-specific evacuation system with a mobile interface for emergency cases such as fire. Unlike past work, we explore dynamically changing conditions and calculate a personal route for an evacuee by considering his/her individual features. SmartEscape, which is fast, low-cost, low resource-consuming and mobile supported, collects various environmental sensory data and takes evacuees' individual features into account, uses an artificial neural network (ANN) to calculate personal usage risk of each link in the building, eliminates the risky ones, and calculates an optimum escape route under existing circumstances. Then, our system guides the evacuee to the exit through the calculated route with vocal and visual instructions on the smartphone. While the position of the evacuee is detected by RFID (Radio-Frequency Identification) technology, the changing environmental conditions are measured by the various sensors in the building. Our ANN (Artificial Neural Network) predicts dynamically changing risk states of all links according to changing environmental conditions. Results show that SmartEscape, with its 98.1% accuracy for predicting risk levels of links for each individual evacuee in a building, is capable of evacuating a great number of people simultaneously, through the shortest and the safest route.en_US
dc.description.sponsorshipTUBITAK (The Scientific and Technological Research Council of Turkey); Karabuk Universityen_US
dc.description.sponsorshipThis research was funded by TUBITAK (The Scientific and Technological Research Council of Turkey) and Karabuk University.en_US
dc.identifier.doi10.3390/ijgi7060223
dc.identifier.issn2220-9964
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-85051506025en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.3390/ijgi7060223
dc.identifier.urihttps://hdl.handle.net/20.500.14619/7366
dc.identifier.volume7en_US
dc.identifier.wosWOS:000436275700025en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofIsprs International Journal of Geo-Informationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectfire evacuationen_US
dc.subjectintelligent routingen_US
dc.subjectmobileen_US
dc.subjectindoor navigationen_US
dc.subjectspatial dataen_US
dc.subjectartificial neural networken_US
dc.titleSmartEscape: A Mobile Smart Individual Fire Evacuation System Based on 3D Spatial Modelen_US
dc.typeArticleen_US

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