Hierarchical Control of Swarms during Evacuation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F21%3A00357050" target="_blank" >RIV/68407700:21240/21:00357050 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.5220/0010678200003064" target="_blank" >https://doi.org/10.5220/0010678200003064</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5220/0010678200003064" target="_blank" >10.5220/0010678200003064</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Hierarchical Control of Swarms during Evacuation

Popis výsledku v původním jazyce

The problem of evacuation is addressed from the perspective of agent-based modeling (ABM) in this paper. We study evacuation as a problem of navigation of multiple agents 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. Unlike previous approaches that model the environment as a discrete graph with agents placed in its vertices our approach adopts various continuous aspects such as grid-based embedding of the environment into 2D space continuous line of sight of an agent. In addition to this, we adopt hierarchical structure of multi-agent system in which so called leading agents are more informed and are capable of performing multiagent pathfinding (MAPF) via centralized algorithms like conflict-based search (CBS) while so called follower agents are modeled using simple local rules. Our experimental evaluation indicates that suggested modeling approach can serve as a tool for studying the progress and the efficiency of the evacuation process.

Název v anglickém jazyce

Hierarchical Control of Swarms during Evacuation

Popis výsledku anglicky

The problem of evacuation is addressed from the perspective of agent-based modeling (ABM) in this paper. We study evacuation as a problem of navigation of multiple agents 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. Unlike previous approaches that model the environment as a discrete graph with agents placed in its vertices our approach adopts various continuous aspects such as grid-based embedding of the environment into 2D space continuous line of sight of an agent. In addition to this, we adopt hierarchical structure of multi-agent system in which so called leading agents are more informed and are capable of performing multiagent pathfinding (MAPF) via centralized algorithms like conflict-based search (CBS) while so called follower agents are modeled using simple local rules. Our experimental evaluation indicates that suggested modeling approach can serve as a tool for studying the progress and the efficiency of the evacuation process.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA19-17966S" target="_blank" >GA19-17966S: intALG-MAPFg: Inteligentní algoritmy pro zobecněné varianty multi-agetního hledání cest</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

ISBN

978-989-758-533-3

ISSN

—

e-ISSN

2184-3228

Počet stran výsledku

13

Strana od-do

61-73

Název nakladatele

SciTePress

Místo vydání

Setùbal

Místo konání akce

Valletta (online)

Datum konání akce

25. 10. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—