Simulation of rescue forces communities in mass causality incident situations

Abstract

Mass Casualty Incident (MCI) situations require high flexibility from the involved rescue forces, including an increased need for efficient communication in sparse mobile ad-hoc networks. Simulations help to understand the performance of information flooding in these situations, to identify critical gaps in the infrastructure and to develop professional models. Based on resources, described as profiles, roles of community members can then be assigned more flexible. The presented approach and the thereupon aligned simulation provide a technological basis for developing a decision support system. This system can - before or during an MCI situation - provide support in mitigating risks. This will be achieved by executing (simulating) and comparing different alternatives to manage the situation at hand.