Work

Evaluation of Emergency Access Evacuation Routes Using Agent-Based Model Application

Year: 2024

Type: article

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.

Source: Journal of Artificial Intelligence in Architecture

DOI: 10.24002/jarina.v3i2.8308

Authors: Irfan Yusuf Muttaqien, Stephen Tanugraha, Julia Eka Puspitaningrum, Hansen Abdi Wibisono Manik

Institution: Atma Jaya University Yogyakarta

Language: English

Topic: Evacuation and Crowd Dynamics

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: diamond

OpenAlex ID: W4401805443

FWCI: 0.177

Cites: 21

Cited by: 1

Related to: 10