The dynamic capture of situational awareness concerning crowds in specific mass gathering venues and its intelligent enablement into emergency management information systems, using smart communication devices and spaces is critical for achieving rapid, timely guidance and safe evacuation of people out of dangerous areas.
In eVACUATE, the intelligent fusion of sensors, geospatial and contextual information, with advanced multi-scale crowd behaviour detection and recognition will be developed. The structured fusion of sensing information with dynamic estimated uncertainties on behaviour predictions will advance eVACUATE crowd dynamic models; and virtual reality simulations of crowds in confined environments. A service oriented Decision-Support System shall be developed to dynamically distribute on-demand evacuation information to emergency management actors as the crisis unfolds.
Decision-makers at the command posts, first responders, front-line stewards and volunteers receive real-time situation aware information of updated evacuation strategies using robust and resilient eVACUATE information and communication infrastructure.
The eVACUATE system performance and scalability will be validated in four distinct scenarios involving incidents with large crowd at various venues with the requirements of evacuation time reductions and increases of safety and security.
The pilots are the following:
1) evacuation of a Soccer Stadium - Real Sociedad de Futbol S.A.D (Anoeta Stadium, San Sebastian, Spain)
2) Mustering and evacuation of passenger cruise ship- STX-FRANCE (Cruise Ship, France)
3) Airport evacuation-Athens International Airport (Airport Terminal, Athens, Greece)
4) Metro Tube evacuation – Metro Bilbao S.A (Metro Station, Bilbao City, Spain)