Combining Conflict-based Search and Agent-based Modeling for Evacuation Problems (Extended Abstract)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F22%3A00360954" target="_blank" >RIV/68407700:21240/22:00360954 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1609/socs.v15i1.21790" target="_blank" >https://doi.org/10.1609/socs.v15i1.21790</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1609/socs.v15i1.21790" target="_blank" >10.1609/socs.v15i1.21790</a>
Alternative languages
Result language
angličtina
Original language name
Combining Conflict-based Search and Agent-based Modeling for Evacuation Problems (Extended Abstract)
Original language description
We address the problem of evacuation from the heuristic search perspective combined with agent-based modeling (ABM). The evacuation problem is modeled as a 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 zone 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 our multi-agent system in which so called leading agents are more informed and are capable of performing multi-agent pathfinding (MAPF) via centralized algorithms like conflict-based search (CBS) while so called following 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA22-31346S" target="_blank" >GA22-31346S: logicMOVE: Logic Reasoning in Motion Planning for Multiple Robotic Agents</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Fifteenth International Symposium on Combinatorial Search
ISBN
978-1-57735-873-2
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
294-296
Publisher name
Association for the Advancement of Artificial Intelligence (AAAI)
Place of publication
Palo Alto, California
Event location
Vídeň
Event date
Jul 21, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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