Comparison of a Smart Mobile Application-Supported Evacuation System and Traditional Evacuation Systems
Yazarlar (5)
Doç. Dr. Yasin ORTAKCI Karabük Üniversitesi, Türkiye
Doç. Dr. Ümit Atila Gazi Üniversitesi, Türkiye
Dr. Öğr. Üyesi Emrullah DEMİRAL Karabük Üniversitesi, Türkiye
Doç. Dr. Kasım ÖZACAR Karabük Üniversitesi, Türkiye
Prof. Dr. İsmail Rakıp KARAŞ Karabük Üniversitesi, Türkiye
| Bildiri Türü |
Tebliğ/Bildiri
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Bildiri Dili | İngilizce |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum | ||
| Kongre Adı | The First International IAG Workshop on BIM and GIS Integration, 12th 3D GeoInfo Conference | ||
| Kongre Tarihi | 25-10-2017 / 27-10-2017 | ||
| Basıldığı Ülke | Avustralya | Basıldığı Şehir | Melbourne |
| Bildiri Linki | https://www.semanticscholar.org/paper/Comparison-of-A-Smart-Mobile-Application-Supported-Ortakci-Atila/44d9fd3fa584288cddb22555641066a91598f333 | ||
| UAK Araştırma Alanları |
Bilgi Sistemleri
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| Özet |
| Today, there are a lot of large-scale buildings in which people spend time during the day. Navigating in these large-scale building has become problematic sometimes and people need a navigation service to reach the spots. Especially, it is relatively problematic to find an exit in the building in emergency cases such as fire, gas leak, flooding and terrorist attack. In this study, a dynamic, usercentric, real time and mobile application-supported smart evacuation system is proposed. The smart evacuation system has three different components: a positioning system, a navigating system and a mobile application. Positioning system that detects the location of the user in indoor environment. Navigation system that produces navigation instructions for the users by considering their personal features and changing conditions in the building during the fire. This navigation system is supported with an Artificial Neural Network that receives ten unique features from the user and six varying environmental conditions in the building and produce the most suitable escape route for the user according to conditions. Finally, a mobile application for Android devices provides a graphical user interface to access the smart evacuation system. The proposed smart evacuation system is compared with the traditional evacuation system and results are discussed in this paper. The smart evacuation system provides alternative individual escape routes for each user and it is also capable of changing the route dynamically during the evacuation process, whereas traditional evacuation systems present the same escape route to all types of user and cannot also change the routes … |
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