Transporte aeromédico para assistir vítimas de acidente - um protótipo

Abstract

Everyday a considerable amount of accidents happen on brazilian federal highways. Part of these accidents needs Aerial Ambulances, with pre-determined flight plans and hospitals to arrive in a short period of time. However, an application that aggregates and simplifies this information does not exist in Brazil. Hence, the project has as objective the development of a visual interface in which the user can check all data in a single environment, be it the flight plan, the accident location, maps and other important data. The project also takes advantage of kNN-Select algorithms to display suggestions for the most suited aerial ambulance for the rescue, as well as define the most suitable destination hospital. For that, it uses concepts of databases, human-computer interaction. Smart cities and machine learning. The objective of this project is to develop an route suggestion algorithm, as well as a web interface where non-computer specialists users can take advantage of this resource.