Projecte llegit
Títol: Automatic drone demand generation and evaluation
Estudiants que han llegit aquest projecte:
HERRANZ BAREAS, LLUÍS XAVIER (data lectura: 08-09-2017)- Cerca aquest projecte a Bibliotècnica
HERRANZ BAREAS, LLUÍS XAVIER (data lectura: 08-09-2017)Director/a: PASTOR LLORENS, ENRIC
Departament: DAC
Títol: Automatic drone demand generation and evaluation
Data inici oferta: 31-01-2017 Data finalització oferta: 30-09-2017
Estudis d'assignació del projecte:
- GR ENG SIST AEROESP
| Tipus: Individual | |
| Lloc de realització: EETAC | |
| Paraules clau: | |
| ATM, drones, demand generation, simulation | |
| Descripció del contingut i pla d'activitats: | |
| The project will develop a software that should generate
futuristic demand generation for the upcoming class of drone operations. Various types of operators and operations will be captured. Given the nature of the country under simulation, its infrastructures, economic areas, etc. The system will generate random demand according to a certain grow model. Each operation will be described in low detail, to be later specified in moving and eventually simulated. Activities: - Study of the potential drone operations of the future - Definition of types of operation and its automatic random generation - Definition of operating clearances covering each operation - Generation of the corresponding mavlink flighplans for each operation - multi-agent simulation and representation of results - Preliminary evaluation of the main factors impacting ATM integration |
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| Overview (resum en anglès): | |
| This project consists in building a drone traffic generator capable of spawning random operations in a country. This document provides the guidelines to generate the operations
taking into account the existing regulation, the forbidden flight zones, the number of operators and the concept of operations. Using the input parameters, the generator creates and assigns a fleet of drones to each operator introduced. Then, the generator spawns the operations and assigns them to drones, so that each operator has a fleet of drones and list of operations to perform. Furthermore, the operations have an assigned flight schedule to follow the typical workday of the country. The generator also allows visualizing the operations along the day by using the program Google Earth. Moreover, the conflicts and busy areas can also be seen with this program, so that the user can see where they occur. On the other hand, the generated operations are stored in two types of file. The first type corresponds to the XML files, which store the whole information relative to the operators, their fleet of drones and the operations performed by each one. The second type of file corresponds to the MavLink files. These files store the flight plans of all the generated operations. By using the simulator ArduPilot and the software Software in the Loop, the operations can be simulated to obtain the logs. These logs can be used to evaluate, for example, the implementation of ADS-B in drones. Finally, the generator allows changing the parametrization of routes in each simulation, as well as the number of operators and the drone models. Hence, the user is able to see the evolution of drone traffic with the generations. Moreover, the generator allows downloading CSV and XML files, where all the information relative to the generated operations, the assigned fleet of drones and the operators is collected. |
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