Using RFID to Evaluate Evacuation Behavior Models

2009 IEEE Symposium on Intelligent Agents

2009

Modeling group behavior is very critical in the context of simulations designed for training personals or evacuation decision making strategies. The behavior of agents in such simulations plays a very important role. Agent behavior in complex environments such as emergency evacuation scenario involves collaboration with other agents. A simple example can be a group of people in a building trying to reach an exit by minimizing their travel time. A further complex situation would be involving several group of people trying to reach multiple exits. This paper describes how complex simulation environments involving group behavior can be constructed by fusing human behavior into the simulation. The developed prototype system is able to demonstrate some emergent human social behaviors, such as competitive, queuing, and herding behaviors. 1) Psychological factors: Anger, Stress, panic 2) Environmental factors: Smoke, terrain, Smoothness 3) Physical factors: observer visibility, fitness, agility Non-Fuzzy behavior factors include the goal following attributes such as favorite goal, wait time, speed, and size of

Section: Introductionmentioning

confidence: 99%

Simulation and modeling of group behavior during emergency evacuation

2009 IEEE Symposium on Intelligent Agents

2009

“…RFID tags are explored [5,6] as a means for non-GPS localization and have been used for emergency response and evacuation. Mobile phones have used phone localization through received signal strength of Wi-Fi signals [7].…”

Section: Related Workmentioning

confidence: 99%

An indoor augmented reality mobile application for simulation of building evacuation

Jerripothula

2015

SPIE Proceedings

Augmented Reality enables people to remain connected with the physical environment they are in, and invites them to look at the world from new and alternative perspectives. There has been an increasing interest in emergency evacuation applications for mobile devices. Nearly all the smart phones these days are Wi-Fi and GPS enabled. In this paper, we propose a novel emergency evacuation system that will help people to safely evacuate a building in case of an emergency situation. It will further enhance knowledge and understanding of where the exits are in the building and safety evacuation procedures. We have applied mobile augmented reality (mobile AR) to create an application with Unity 3D gaming engine. We show how the mobile AR application is able to display a 3D model of the building and animation of people evacuation using markers and web camera. The system gives a visual representation of a building in 3D space, allowing people to see where exits are in the building through the use of a smart phone or tablets. Pilot studies were conducted with the system showing its partial success and demonstrated the effectiveness of the application in emergency evacuation. Our computer vision methods give good results when the markers are closer to the camera, but accuracy decreases when the markers are far away from the camera.

“…There have been many applications using ABMS to create a multiagent system for evacuation. AvatarSim [8][9][10][11] is a multi-agent system for simulating human behavior using fuzzy logic for emergency scenarios. ABMS is used for decision making systems to investigate real world problems like evacuation, terrorism, military, and crowd behavior.…”

Section: Agent Based Modeling and Simulationmentioning

confidence: 99%

Intelligent agents in a goal finding application for homeland security

2012 Proceedings of IEEE Southeastcon

Otunba

Ogunlana

et al. 2012

Orderly and efficient evacuations are the key in saving lives and are of considerable interest to homeland security. There has been a considerable interest in simulation of intelligent agent behavior in the context of agent based modeling. This paper combines Genetic Algorithm (GA) with Neural Networks (NN) to explore how intelligent agents can look for exits during an evacuation. The agents have the capability to adapt their behavior in the environment and formulate their response by learning from the environment. Our approach focuses on modeling individual behavior as well as group behavior. Individuals constantly adjust their behavior according to the dynamic factors in the environment. We are developing crowdmodeling and emergency behavior modeling capability in a goal finding application. This paper examines an intelligent agentbased evacuation that can help plan emergency evacuations, run numerous event-driven evacuation scenarios, support research in the areas of human behavior, and model the movement of responders and security personnel. The result of this simulation was very promising as we are able to observe the agents use GA and NN to learn how to find the various exits.