Obiettivo
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. Humans could be overwhelmed by fast changes of potentially dangerous incidents occurring at confined environments with mass-gathering. They could fail to make objective decisions to find their way to safety. This condition may lead to mass panic and make emergency management more challenging. 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. Smart spaces of electronic, audio and other mobile devices shall be connected to the integrated system to provide safer evacuation routings for people. 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. These are: 1) Underground stations in Bilbao; 2) Real Sociedad Footbal Stadium in San Sebastian, 3) Athens International Airport and 4) a STX Cruiseship.
Campo scientifico
Invito a presentare proposte
FP7-SEC-2012-1
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Meccanismo di finanziamento
CP-IP - Large-scale integrating projectCoordinatore
11526 Athina
Grecia
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Partecipanti (18)
SO17 1BJ Southampton
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106 82 ATHINA
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8232 JN Lelystad
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15561 ATHINA
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20600 Eibar Guipuzcoa
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190 19 SPATA
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00156 ROMA
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BA2 3DQ Bath
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28108 Alcobendas Madrid
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3000 Leuven
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13857 AIX EN PROVENCE
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10129 Torino
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44600 Saint Nazaire
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01069 Dresden
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09111 Chemnitz
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20014 DONOSTIA SAN SEBASTIAN GUIPUZCOA
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48001 Bilbao
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20123 Milano
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