Authors:
Yasuki Iizuka
1
;
Katsuya Kinoshita
1
and
Kayo Iizuka
2
Affiliations:
1
Tokai University, Japan
;
2
Senshu University, Japan
Keyword(s):
Disaster Evacuation, Distributed Constraint Optimization Problem.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Cooperation and Coordination
;
Distributed and Mobile Software Systems
;
Distributed Problem Solving
;
Enterprise Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Software Engineering
;
Symbolic Systems
Abstract:
At times of disaster, or immediately prior to such periods, smooth evacuation is a key issues. However, it is
difficult to achieve, because people tend to panic when faced with disaster. This paper proposes a system that
supports effective evacuation from danger using the framework of the Distributed Constraint Optimization
Problem (DCOP). The use of the DCOP facilitates the assisted optimization of people’s evacuation timing
without a center server. This system enables assistance in terms of evacuation guidance to be given to relieve
congestion, by calculating evacuation timing via an ad-hoc network of evacuees’ mobile devices (phones, PCs,
etc.). In this paper, we focus on the formalization of the disaster evacuation problem and how to solve it using
the framework of the Distributed Constraint Optimization Problem.