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Ant colony evacuation planner: An ant colony system with incremental flow assignment for multipath crowd evacuation
Evacuation path optimization (EPO) is a crucial problem in crowd and disaster management.
With the consideration of dynamic evacuee velocity, the EPO problem becomes …
With the consideration of dynamic evacuee velocity, the EPO problem becomes …
Simulation study on pedestrian evacuation optimization in a multi-exit building
Y Fu, W Shi, Y Zeng, H Zhang, X Liu… - Journal of physics …, 2021 - iopscience.iop.org
Two multi-exit selection models based on social force model are presented to simulate
pedestrian evacuation, and the model coefficients are optimized by considering the effect of …
pedestrian evacuation, and the model coefficients are optimized by considering the effect of …
Analyzing emergency evacuation strategies for large buildings using crowd simulation framework
The occurrence of natural or man-made emergencies can be quite complex and demand
flawless preparedness, through tested strategies, in order to ensure the safety of the …
flawless preparedness, through tested strategies, in order to ensure the safety of the …
Evaluation of Emergency Access Evacuation Routes Using Agent-Based Model Application
IY Muttaqien, S Tanugraha… - Journal of Artificial …, 2024 - ojs.uajy.ac.id
One vital component in managing buildings, such as houses or buildings, is the
implementation of safety measures against disaster risks. Artificial Intelligence (AI) …
implementation of safety measures against disaster risks. Artificial Intelligence (AI) …
A robust potential-based route choice model for simulating pedestrian evacuation
In this paper, a cellular automata model for pedestrian evacuation is presented. Special
attention is paid to a phenomenon wherein an artificial and allegedly unrealistic bias in route …
attention is paid to a phenomenon wherein an artificial and allegedly unrealistic bias in route …
Design and experimental evaluation of mas-gig model for crowd evacuation planning in case of fire
In this paper, we proposed the design and experimental evaluation of the Multiagent System-
Group in Group (MAS-GiG) model for crowd evacuation planning in case of fire. We …
Group in Group (MAS-GiG) model for crowd evacuation planning in case of fire. We …
Reducing risks during natural disasters with optimal resource allocation by multi-agent optimization
Natural disasters are notable for the high costs associated with responding to and
recovering from them. In this paper we address the issue of critical resources allocation …
recovering from them. In this paper we address the issue of critical resources allocation …
Retracted: Deep neural network‐based detection of pilgrims location in Holy Makkah
MA Taha, MS Direkoglu… - International Journal of …, 2022 - Wiley Online Library
Taha MA, Direkoglu MS, Direkoglu C. Deep neural network‐based detection of pilgrims
location in Holy Makkah, International Journal of Communication Systems 2021,(https://doi …
location in Holy Makkah, International Journal of Communication Systems 2021,(https://doi …
[PDF][PDF] REDUCING RISKS DURING NATURAL DISASTERS WITH OPTIMAL RESOURCE ALLOCATION BY MULTI-AGENT OPTIMIZATION
N Mustafee, KHG Bae, S Lazarova-Molnar, M Rabe… - academia.edu
Natural disasters are notable for the high costs associated with responding to and
recovering from them. In this paper we address the issue of critical resources allocation …
recovering from them. In this paper we address the issue of critical resources allocation …
Optimal Control for Decision-Making in Single and Multi-Agent Systems
A Vereshchaka - 2021 - search.proquest.com
We live in a world full of complex interactions between agents, in which each agent carries
its own model and objective. Social-behavioural systems can be modeled as collections of …
its own model and objective. Social-behavioural systems can be modeled as collections of …