Learning in the recurrent random neural network
Neural Computation
Simulation fundamentals
Simulation for the Social Scientist
Simulation for the Social Scientist
Proceedings of the 35th conference on Winter simulation: driving innovation
Simulating autonomous agents in augmented reality
Journal of Systems and Software
DrillSim: a simulation framework for emergency response drills
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
User interfaces for robots swarm assistance in emergency settings
Proceedings of the 23rd British HCI Group Annual Conference on People and Computers: Celebrating People and Technology
A distributed decision support system for building evacuation
HSI'09 Proceedings of the 2nd conference on Human System Interactions
Emergency response with proactive crowd-sourcing reverse-111
CRITIS'10 Proceedings of the 5th international conference on Critical Information Infrastructures Security
Wireless networks in emergency management
Proceedings of the first ACM international workshop on Practical issues and applications in next generation wireless networks
A decision support system for disaster management in buildings
SCSC '09 Proceedings of the 2009 Summer Computer Simulation Conference
Large scale simulation for human evacuation and rescue
Computers & Mathematics with Applications
Problem Decomposition for Evacuation Simulation Using Network Flow
DS-RT '12 Proceedings of the 2012 IEEE/ACM 16th International Symposium on Distributed Simulation and Real Time Applications
Expert Systems with Applications: An International Journal
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During emergency response situations, decisions have to be made in a timely manner. Multiple entities have to be optimally coordinated and numerous resources must be allocated efficiently, creating a very interesting and challenging technical problem. In this paper we present a simulation system that models the evacuation of a multi-storey building. Autonomous intelligent agents are used to represent various types of actors that interact inside a virtual physical world. We also model virtual hazards, such as fire, that spread inside the building evacuation simulator. A real wireless sensor network is used to monitor the spread of the hazards while an external event generator provides input to the sensors. We study the effect of different disaster scenarios and agent behaviours, such as human behaviour during an emergency, on the result of the evacuation procedure. Our initial results indicate that the safety of the evacuees and the evacuation time depend on local interactions between the participants and are affected by the actors' decisions. The integration with the wireless sensor network gives us the opportunity to investigate the effect of sensed information on resource allocation and allows us to study the impact of network issues on the decision making process.