Abstract
Current CBRNe detection systems are mainly available as standalone detectors, and seldom offer the potential of networking and data fusion. The research objective is to simulate the scenario-based models built in a virtual environment to examine the possible impact of the EU-SENSE system on chemical detection technology, based on an innovative CBRNe detection and identification system, which is a network of heterogeneous sensor nodes, on the evacuation of a mass gathering. The chemical detection system presents real possibilities of understanding situations that depend on the first symptoms of human health and behaviour. This information will facilitate taking appropriate measures when CBRNe hazard forces to evacuation, including quick identification of the hazard and necessity to modify preliminary evacuation gates (in terms of their localization and width).
Published Version
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