Design of an intelligent individual evacuation model for high rise building fires based on neural network within the scope of 3D GIS

Basit Öğe Kaydı
dc.contributor.authorAtila, U.
dc.contributor.authorKaras, I.R.
dc.contributor.authorTuran, M.K.
dc.contributor.authorRahman, A.A.
dc.date.accessioned2024-09-29T16:16:03Z
dc.date.available2024-09-29T16:16:03Z
dc.date.issued2013
dc.departmentKarabük Üniversitesien_US
dc.descriptionISPRS 8th 3D GeoInfo Conference and WG II/2 Workshop -- 27 November 2013 through 29 November 2013 -- Istanbul -- 134306en_US
dc.description.abstractOne of the most dangerous disaster threatening the high rise and complex buildings of today's world including thousands of occupants inside is fire with no doubt. When we consider high population and the complexity of such buildings it is clear to see that performing a rapid and safe evacuation seems hard and human being does not have good memories in case of such disasters like world trade center 9/11. Therefore, it is very important to design knowledge based realtime interactive evacuation methods instead of classical strategies which lack of flexibility. This paper presents a 3D-GIS implementation which simulates the behaviour of an intelligent indoor pedestrian navigation model proposed for a self -evacuation of a person in case of fire. The model is based on Multilayer Perceptron(MLP) which is one of the most preferred artificial neural network architecture in classification and prediction problems. A sample fire scenario following through predefined instructions has been performed on 3D model of the Corporation Complex in Putrajaya (Malaysia) and the intelligent evacuation process has been realized within a proposed 3D-GIS based simulation. © 2013 Copernicus. All Rights Reserved.en_US
dc.description.sponsorshipTUBITAK- The Scientific and Technological Research Council of Turkey, (112Y050)en_US
dc.identifier.doi10.5194/isprsannals-II-2-W1-13-2013
dc.identifier.endpage24en_US
dc.identifier.issn2194-9042
dc.identifier.issue2W1en_US
dc.identifier.scopus2-s2.0-84964219214en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage13en_US
dc.identifier.urihttps://doi.org/10.5194/isprsannals-II-2-W1-13-2013
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8825
dc.identifier.volume2en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherCopernicus GmbHen_US
dc.relation.ispartofISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciencesen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject3D-GISen_US
dc.subjectEvacuationen_US
dc.subjectIntelligent Routingen_US
dc.subjectMultilayer Perceptronen_US
dc.subjectNavigationen_US
dc.subjectNetwork Analysisen_US
dc.titleDesign of an intelligent individual evacuation model for high rise building fires based on neural network within the scope of 3D GISen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu