FSEG LOGO FIRE SAFETY ENGINEERING GROUP The Queen's Anniversary Prize 2002 The British Computer Society IT Awards 2001 The European IST Prize Winner 2003 The Guardian University Awards Winner 2014
The Faculty of Architecture, Computing & Humanities
UNIVERSITY of GREENWICH


Immersive Real-time Multi-user Interaction with Computer Simulated Pedestrians During Emergencies

Simo Haasanen

2018

Abstract

Crowd management is a key issue in large public assemblies in both emergency and non- emergency scenarios. It is important to be able to train for crowd management and test crowd management procedures for both emergency and non-emergency scenarios, however, full-scale exercises are costly, difficult and time consuming, and prevent exposure to immersive fire, smoke and toxic products. Interactive virtual training environments (VTE) with validated pedestrian dynamics are non-existent in firefighting and law enforcement training. Human behaviour is often made to appear real in VTEs rather than qualitatively correct and direct interaction with simulated agents is either not possible or limited to one-to-one interaction.  

An Immersive Real-time Interactive Simulation (IRIS) system is proposed to link a vali- dated pedestrian behaviour computer model with an interactive virtual reality (VR) environ- ment and Computational Fluid Dynamic Fire data produced by a CFD Engine. This 3-way link enables new use cases for using pedestrian behaviour models in new fields, for example real-time immersive and interactive first responder training with reactive crowd behaviour in fire scenarios. The linking of the software components also enables rapid prototyping, de- velopment, testing and verification of new behaviours and capabilities that are not currently present in the linked computer model. The IRIS system allows the model to be used for testing and prototyping of crowd procedures and theories in an interactive multi-user VR environment.  

To improve immersion in interactive VR fire scenarios, it is important to visualise smoke accurately and to represent the impact of heat and toxic products of the fire on the simulated population and user-controlled agents. A novel, real-time, accurate fire smoke visibility visu- alisation system is presented. Previously, accurate fire smoke visibility visualisation has been limited to expensive ray tracing algorithms as a post-processing tool, not allowing real-time virtual environments to benefit from accurate fire smoke visibility representation.

 

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