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, was developed. The structured fusion of sensing information with dynamic estimated uncertainties on behaviour predictions advanced eVACUATE crowd dynamic models and virtual reality simulations of crowds in confined environments. A service-oriented decision-support system was developed to dynamically distribute on-demand evacuation information to emergency management actors as crisis situations unfold.
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.Social Intelligence Big Data Decision Support
The eVACUATE system performance and scalability has been validated on five 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:
For more information on some of our work in this project, see this spotlight.
The eVACUATE project was a 46 month project funded by the EC FP7 framework programme.
Coordinator: EXODUS A.E., Greece
eVACUATE has received EC research funding.