DECISION SUPPORT SYSTEM FOR SEARCH & RESCUE OPERATIONS

Abstract

SAR (Search and Rescue) operation is a complex process, often carried out in the absence of resources and time. Every single minute matters, as it puts the lost person in more danger. Therefore, it is really crucial to plan and coordinate SAR operation effectively. Because the search area is often very extensive, any leads about where to look first are invaluable. This can be achieved by modelling lost person's behaviour based on the data from past operations. Generated results present probabilities of finding a subject in different segments of the search area, which might benefit the planning and the execution phases of the operation. The authors evaluate one of the commonly used modelling methods and propose several ways to improve it, together with some preliminary evaluation results and an already implemented system, which incorporates the described methodology.

Improving the search for victims in mountain environments with geovisualization and competing hypotheses management

“…Closer to our objectives, a specific approach to Search and Rescue (S&R) of lost people is described in (Michal & Robert, 2015). This approach, developed as an extension to a desktop GIS application, focuses on the modeling of lost persons behaviors from their last known position and their point of destination.…”

“…The data needed by rescuers for localization are heterogeneous, multisource, dispersed and insufficiently structured so they are efficiently queried. If the search problem is necessarily spatial as "many decisions taken by both the subject and rescuers are influenced by the terrain" (Michal & Robert, 2015), it may obviously benefit from a better exploitation of the information collected during the alert call. This is the starting point of the project CHOUCAS funded by the French National Research Agency.…”