Open AccessA Revised Particle Swarm Optimization Model of Airplane Evacuations
Author(s) -
Yuandan Luo
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1733/1/012005
Subject(s) - airplane , particle swarm optimization , crash , safer , computer science , aeronautics , swarm behaviour , plan (archaeology) , simulation , engineering , operations research , aerospace engineering , computer security , artificial intelligence , algorithm , geography , archaeology , programming language
Aircraft accidents such as the Sukhoi Superjet 100 aircraft crash on May 5, 2019 at Sheremetyevo airport recently have drawn the public attention, requiring a safer evacuation plan and aircraft designs. In this paper, we conduct an evacuation model based on Particle Swarm Optimization (PSO) algorithm. Also, we learn from the PSO with emotion factor algorithm which shows that increasing the emotion raises the average velocity and decreases the repulsion force exerted by neighbour passengers. Our simulations also suggest that adding reaction time and blocking the exits increase the evacuation time significantly. In addition, we conduct simulations that incorporate passengers carrying luggage, according to the real-life scenarios, which has longer evacuation time.