Search and Rescue (SAR) operations aim at finding missing objects with minimum
time in a determined area. There are fundamentally two problems in these
operations. The first problem is assessing highly reliable probability distribution
maps, and the second is determining the search pattern that sweeps the area from
the air as fast as possible.
In this study, geographic information systems (GIS) and multi criteria decision
analysis (MCDA) are integrated and a new model is developed based upon Search
Theory in order to find the position of the missing object as quickly as possible
with optimum resource allocation. Developed model is coded as a search planning
tool for the use of search and rescue planners. Inputs of the model are last known
position of the missing object and related clues about its probable position.
In the developed model, firstly related layers are arranged according to their
priorities based on subjective expert opinion. Then a multi criteria decision method
is selected and each data layer is multiplied by a weight corresponding to search
expert&rsquo / s rank. Then a probability map is established according to the result of
MCDA methods. In the second phase, the most suitable search patterns used in
literature are applied based on established probability map. The developed model
is a new approach to shortening the time in SAR operations and finding the
suitable search pattern for the data of different crashes.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12608362/index.pdf |
| Date | 01 April 2007 |
| Creators | Soylemez, Emrah |
| Contributors | Duzgun, Sebnem H |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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