Paper Info
Title
Multi-Agent Approach For Evacuation Support System
Abstract
We propose a system that supports evacuation after a large-scale disaster. When a large-scale disaster occurs, collecting information by using portable devices is difficult, because communication base stations collapse and traffic congestion occurs. Evacuees are at a loss where they should go for safe places in lack of information. In order to overcome these problems, we have proposed and evaluated a multi-agent system that is built on MANET. Our aim is to let the users share information on MANET, and provide safe routes to the destination by using collected information. In the previous paper, we proposed and implemented the main functions of the proposed system, and performed feasibility study of the multi-agent system by using simple simulator. In this paper, we report the revised system and investigate the relationships between the number of the users and diffusivity of information, and the number of the generated mobile agents by using newly constructed simulator. In the experiments for evaluation, we simulated a realistic situation by using real map data and we took stochastic change of the situation into consideration, because the situation must be getting worse by time elapses.
Year
DOI
Venue
2017
10.5220/0006194202200227
ICAART: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1
Keywords
Field
DocType
Multi Agent, Mobile Agent, Ant Colony Optimization, Mobile Ad Hoc Network, Contingency Plan, Risk Management
Mobile ad hoc network,Ant colony optimization algorithms,Computer science,Support system,Mobile agent,Risk management,Multi agent approach,Artificial intelligence,Contingency plan,Machine learning,Distributed computing
Conference
Citations 
PageRank 
References 
1
0.40
0
Authors
4
Name
Order
Citations
PageRank
Shouhei Taga110.40
Tomofumi Matsuzawa232.48
Munehiro Takimoto39221.45
Yasushi Kambayashi412429.76