First responders' mobile phone traces during a search-and-rescue exercise scenario
- 1. KIOS Research and Innovation Center of Excellence, University of Cyprus
Description
This dataset is collected during a search-and-rescue exercise scenario in the framework of the ARTION project.
The operation took place on the 11th of April 2021 in an abandoned village (Vretsia) in Paphos district, in Cyprus.
The exercise scenario was the following: After a tornado, seven campers who were in the village at the time of the tornado
are reported as missing. Some of them are injured. The operations included: establishment and operation of an emergency
operation center, first aid station, and drone operation center.
For the search-and-rescue operations two rescue teams, a first responder with a rescue dog and a drone were deployed.
1. The rescue dog detects a person. A lightly injured woman is searched and found. The medic team rushes to help
and finally accompanies the person to the operation center/first aid station.
2. A victim is identified by the drone and rescued by the Medic Team.
3. The Rescue Team #1 founds an unconscious male and the Medic Team rushes to the rescue.
4. The Rescue Team #2 founds an injured female person and the Medic Team rushes to the rescue.
5. Another person is identified by the drone and rescued by the Medic Team.
6. The Rescue Team #1 founds a lightly injured female person and accompanies her to the first aid station.
7. The Rescue Team #2 founds a lightly injured female person and accompanies her to the first aid station.
The exercise was organized and conducted by the Cyprus Civil Defence and data collection was performed by the
KIOS Research and Innovation Center of Excellence of the University of Cyprus.
The dataset consists of .csv files, each containing a trace, that is, the locations of the mobile phones captured by the built-in
GPS receiver of the phone approximately every one second. The mobile phones were held by first responders during their operation.
Notes
Files
mobApp_traces_searchRescue_20210411.zip
Files
(2.2 MB)
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md5:327bd01019a75d8139ecd755be0b220e
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