Decision Support Software for Search & Rescue Operations

摘要

SAR (Search & Rescue) operation is a complex process, often carried out in the absence of complete information and lack of resources. Therefore, it is extremely important to plan and coordinate SAR operation effectively. This can be achieved by modelling lost people's behaviour based on expert knowledge and information on previous cases. Obtained results can be projected onto digital maps with geoprocessing features producing probability maps. These maps are indispensable for decision makers and SAR teams to select and search areas with the highest probability of finding the missing people. This process strongly benefits from continuous learning of experts and SAR teams. However, to be effective, the education must be supported by proper software support. The paper presents a concept and prototype of decision supporting system dedicated to SAR operations. The prototype covers all stages of SAR operation: gathering information about the missing person, planning the operation and executing the plan during the field operation. By gathering and exchanging data on SAR cases it is possible to improve the understanding of lost people's behaviour and contribute to the continuous learning process.