CBL - Campus del Baix Llobregat

Projecte llegit

Títol: Authomatic generation of reallistic RPAS trajectories in EU airspace

Estudiants que han llegit aquest projecte:

Director/a: PASTOR LLORENS, ENRIC

Departament: DAC

Títol: Authomatic generation of reallistic RPAS trajectories in EU airspace

Data inici oferta: 26-01-2017     Data finalització oferta: 26-09-2017


Estudis d'assignació del projecte:
    GR ENG SIST AEROESP
Tipus: Individual
 
Lloc de realització: EETAC
 
Paraules clau:
RPAS, trajectory generation
 
Descripció del contingut i pla d'activitats:
The project intends to generate a large volume of reallistic
RPAS trajectories, which will be combined with ral traffic in
order to identify the RPAS impact in the European airspace.
The trajectories will be constructud assuming that a fleet of
cargo drones operate through a network of secondary airports.

The phases of the project will be:

- Identification of the network structure of the RPAS cargo
company
- Identification of the performance elements of the RPAS cargo
planes
- Analysis of the departure and arrival operations for
selected the period of time and selected airports
- Analysis of the meteo conditions for the same period
- Generation of the route network
- Generation of the trajectories exploiting a genetic
algorithm
- Correlation of the RPAS trajectories with the real European
traffic
 
Overview (resum en anglès):
RPAS have become steadily a more present part in the civil lives. Since their appearance, researchers have been looking for solutions in which these unmanned aircrafts could be implemented to ease the daily life.
This report contains all the steps that have been made in order to demonstrate another of these solutions, the viability of substituting big cargo aicrafts for RPAS.

In this project, it will be developed a software capable of creating a large number of routes for a fictitious airline company for a specified time period, using actual data.

The software will be able to: read and manipulate external files with the historical data of an airline; process all these data and organize them in a data structure where a whole series of routes will be generated; return files with all this information and also create other special files to be incorporated into another program. The final trajectories generated will also be represented on a European map where it will be simulated its movement through Google Earth.
These trajectories will be generated from real data and always using the most realistic parameters in order to achieve a better generation.

Through this project, the feasibility of being able to create a program capable of automating the whole generation of trajectories which can later be performed by RPAS will be demonstrated. To compare the results generated in this software with the how real trajectories behave in normal traffic, these trajectories will be compared with those generated individually with the same data using a specific software.

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