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All Journal Journal of Artificial Intelligence in Architecture
Muttaqien, Irfan Yusuf
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Civil Engineering, Building, Construction & Architecture Computer Science & IT

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Evaluation of Emergency Access Evacuation Routes Using Agent-Based Model Application Muttaqien, Irfan Yusuf; Tanugraha, Stephen; Puspitaningrum, Julia Eka; Manik, Hansen Abdi Wibisono
Journal of Artificial Intelligence in Architecture Vol. 3 No. 2 (2024): Artificial Intelligence for Architectural Alchemy: Fusing Human Creativity and
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jarina.v3i2.8308

Abstract

One vital component in managing buildings, such as houses or buildings, is the implementation of safety measures against disaster risks. Artificial Intelligence (AI) technology can minimise fire risk in buildings. The integration of AI technology enables early detection, rapid response, and even realistic evacuation simulations to increase the efficiency of security systems and protect against disasters. This research aims to review a program based on Agent-Based Artificial Intelligence called AnyLogic to calculate the efficiency of emergency access evacuation routes. The research uses the journal review method as the primary approach. This method is part of systematic research on certain phenomena and collects data from related journal sources. This research concludes that AnyLogic is crucial in optimising emergency access evacuation strategies in multiple contexts. AnyLogic has the advantage of determining the most efficient evacuation route, determining evacuation time, and being able to evaluate evacuation routes in certain buildings.
Evaluation of Emergency Access Evacuation Routes Using Agent-Based Model Application Muttaqien, Irfan Yusuf; Tanugraha, Stephen; Puspitaningrum, Julia Eka; Manik, Hansen Abdi Wibisono
Journal of Artificial Intelligence in Architecture Vol. 3 No. 2 (2024): Artificial Intelligence for Architectural Alchemy: Fusing Human Creativity and
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jarina.v3i2.8308

Abstract

One vital component in managing buildings, such as houses or buildings, is the implementation of safety measures against disaster risks. Artificial Intelligence (AI) technology can minimise fire risk in buildings. The integration of AI technology enables early detection, rapid response, and even realistic evacuation simulations to increase the efficiency of security systems and protect against disasters. This research aims to review a program based on Agent-Based Artificial Intelligence called AnyLogic to calculate the efficiency of emergency access evacuation routes. The research uses the journal review method as the primary approach. This method is part of systematic research on certain phenomena and collects data from related journal sources. This research concludes that AnyLogic is crucial in optimising emergency access evacuation strategies in multiple contexts. AnyLogic has the advantage of determining the most efficient evacuation route, determining evacuation time, and being able to evaluate evacuation routes in certain buildings.
Co-Authors Manik, Hansen Abdi Wibisono Puspitaningrum, Julia Eka Tanugraha, Stephen