Agent-Based Modeling in Hierarchical Control of Swarms During Evacuation
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F23%3A00371958" target="_blank" >RIV/68407700:21240/23:00371958 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1007/s42979-022-01437-x" target="_blank" >https://doi.org/10.1007/s42979-022-01437-x</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s42979-022-01437-x" target="_blank" >10.1007/s42979-022-01437-x</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Agent-Based Modeling in Hierarchical Control of Swarms During Evacuation
Popis výsledku v původním jazyce
We address the problem of evacuation from the perspective of agent-based modeling (ABM) in this paper. The evacuation problem is modeled as a navigation of multiple agents that spatially interact with each other in a known environment. The environment is divided into a danger and a safe zone while the task of agents is to move from the danger zone to the safe one in a collision-free manner. Unlike previous approaches that model the environment as a discrete graph with agents placed in its vertices, at most one agent per vertex, our approach adopts various continuous aspects such as a grid-based embedding of the environment into 2D space and continuous line of sight of agents. In addition to this, we adopt hierarchical structure of multi-agent system in which so called leading agents are more informed having full knowledge of other agents and are capable of performing multi-agent pathfinding (MAPF) via centralized algorithms like conflict-based search (CBS) while so called follower agents with limited knowledge about other agents are modeled using simple local rules. Our experimental evaluation indicates that suggested hierarchical modeling approach can serve as a tool for studying the progress and the efficiency of evacuation processes in different environments.
Název v anglickém jazyce
Agent-Based Modeling in Hierarchical Control of Swarms During Evacuation
Popis výsledku anglicky
We address the problem of evacuation from the perspective of agent-based modeling (ABM) in this paper. The evacuation problem is modeled as a navigation of multiple agents that spatially interact with each other in a known environment. The environment is divided into a danger and a safe zone while the task of agents is to move from the danger zone to the safe one in a collision-free manner. Unlike previous approaches that model the environment as a discrete graph with agents placed in its vertices, at most one agent per vertex, our approach adopts various continuous aspects such as a grid-based embedding of the environment into 2D space and continuous line of sight of agents. In addition to this, we adopt hierarchical structure of multi-agent system in which so called leading agents are more informed having full knowledge of other agents and are capable of performing multi-agent pathfinding (MAPF) via centralized algorithms like conflict-based search (CBS) while so called follower agents with limited knowledge about other agents are modeled using simple local rules. Our experimental evaluation indicates that suggested hierarchical modeling approach can serve as a tool for studying the progress and the efficiency of evacuation processes in different environments.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/GA22-31346S" target="_blank" >GA22-31346S: logicMOVE: Logické uvažování v plánování pohybu pro mnoho robotických agentů</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
SN Computer Science
ISSN
2662-995X
e-ISSN
—
Svazek periodika
4
Číslo periodika v rámci svazku
38
Stát vydavatele periodika
SG - Singapurská republika
Počet stran výsledku
26
Strana od-do
—
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85141097601