Multi-agent simulations for emergency situations in an airport scenario

被引：1

作者：

Bicharra, Ana Cristina ^{[1
]}

Sanchez-Pi, Nayat ^{[1
]}

Correia, Luis ^{[2
]}

Molina, Jose Manuel ^{[3
]}

机构：

[1] Univ Fed Fluminense, ADDLabs, Niteroi, RJ, Brazil

[2] Univ Lisbon, Fac Ciencias, Lisbon, Portugal

[3] Univ Carlos III Madrid, Dept Comp Sci, Getafe, Spain

来源：

ADCAIJ-ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL | 2012年 / 1卷 / 03期

关键词：

Multi-agent systems; Emergency situations; Simulation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a multi-agent framework using Net-Logo to simulate human and collective behaviors during emergency evacuations. Emergency situation appears when an unexpected event occurs. In indoor emergency situation, evacuation plans defined by facility manager explain procedure and safety ways to follow in an emergency situation. A critical and public scenario is an airport where there is an everyday transit of thousands of people. In this scenario the importance is related with incidents statistics regarding overcrowding and crushing in public buildings. Simulation has the objective of evaluating building layouts considering several possible configurations. Agents could be based on reactive behavior like avoid danger or follow other agent, or in deliberative behavior based on BDI model. This tool provides decision support in a real emergency scenario like an airport, analyzing alternative solutions to the evacuation process.

引用

页码：69 / 78

页数：10

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