CBL - Campus del Baix Llobregat

Projecte llegit

Títol: Simulation of the ground movements and conflict detection

Estudiants que han llegit aquest projecte:

Director/a: PONS PRATS, JORDI

Departament: FIS

Títol: Simulation of the ground movements and conflict detection

Data inici oferta: 14-12-2021     Data finalització oferta: 14-07-2022


Estudis d'assignació del projecte:
    GR ENG SIST AEROESP
Tipus: Individual
 
Lloc de realització: EETAC
 
Segon director/a (UPC): KULJANIN, JOVANA
 
Paraules clau:
Airport, ground movement, simulation, conflict detection, airside model
 
Descripció del contingut i pla d'activitats:
The project aims to analyse the manoeuvring area of an airport.
Understanding the movements of vehicles with regards the system
configuration, demand and typology of operations. A digital
definition of the airside will be proposed to create the taxiway
network, in order to be used as the test field of a conflict
resolution system.
The working plan of the project includes:
- State-of-the-art analysis on ground movement, conflict
resolution, manoeuvring area definition and configuration.
- Development of the digital mockup of the airside as a
database of taxiway information
- Implementation of the conflict detection and resolution
system
- Validation on a particular airport
- Assessment on how to extend the developments to other
airports

Some references:
Ravizza, S., Atkin, J. A., & Burke, E. K. (2014). A more
realistic approach for airport ground movement optimisation with
stand holding. Journal of Scheduling, 17(5), 507-520.
Ravizza, S., Chen, J., Atkin, J. A., Burke, E. K., & Stewart, P.
(2013). The trade-off between taxi time and fuel consumption in
airport ground movement. Public Transport, 5(1-2), 25-40.
Atkin, J. A., Burke, E. K., & Ravizza, S. (2011, August). A more
realistic approach for airport ground movement optimisation with
stand holding. In Proceedings of the 5th multidisciplinary
international scheduling conference (MISTA 2011), Phoenix,
Arizona, USA.
Ravizza, S., Atkin, J. A., Maathuis, M. H., & Burke, E. K.
(2013). A combined statistical approach and ground movement model
for improving taxi time estimations at airports. Journal of the
Operational Research Society, 64(9), 1347-1360.
Schultz, M., Olive, X., Rosenow, J., Fricke, H., & Alam, S.
(2020, February). Analysis of airport ground operations based on
ADS-B data. In 2020 International Conference on Artificial
Intelligence and Data Analytics for Air Transportation (AIDA-AT)
(pp. 1-9). IEEE.
Neuman, U. M., & Atkin, J. A. (2013, September). Airport gate
assignment considering ground movement. In International
Conference on Computational Logistics (pp. 184-198). Springer,
Berlin, Heidelberg.
Weiszer, M., Chen, J., Ravizza, S., Atkin, J., & Stewart, P.
(2014, July). A heuristic approach to greener airport ground
movement. In 2014 IEEE congress on evolutionary computation (CEC)
(pp. 3280-3286). IEEE.
Ravizza, S. (2013). Enhancing decision support systems for
airport ground movement (Doctoral dissertation, University of
Nottingham).
 
Overview (resum en anglès):

Continuous growth of air traffic generates that available resources during periods of high activity cannot meet the demand of air traffic, which generates a lot of congestion. This not only affects the reduction of operational efficiency, but also increases the workload of air traffic controllers, consequently, the risk of runway incursion or collision on the taxiway increases. For this reason, it is essential to have a good method of detecting and resolving possible conflicts between vehicles.
The aim of this project is to understand all aspects that affect the generation of possible conflicts between vehicles in the airport taxi zone. To achieve this goal, a study has been carried out of the main characteristics of the airport¿s taxi zone: velocities, priorities, signage, among others. On the other hand, various studied and/or implemented methods of conflict detection and resolution have been analysed in order to be able to delve more deeply into the field.
In the second part of this project, a simplification of conflict detection and resolution has been created by using Python. The main objective is to be able to put in action all studied aspects of the airport in the most realistic way possible. Once done, the different trajectories and the possible conflicts generated can be visualized.
Overall, the project provides some guidelines on issues of conflict detection and resolution that are considered relevant for future research in this area. In addition, the necessary elements for implementation at the airport are mentioned.

© CBLTIC Campus del Baix Llobregat - UPC