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Projecte llegit

Títol: Development of a queue generator for the simulation of airport processes

Estudiants que han llegit aquest projecte:

Director/a: PONS PRATS, JORDI

Departament: FIS

Títol: Development of a queue generator for the simulation of airport processes

Data inici oferta: 21-01-2025     Data finalització oferta: 21-09-2025


Estudis d'assignació del projecte:
    GR ENG SIST AEROESP
Tipus: Individual
 
Lloc de realització: EETAC
 
Paraules clau:
Simulador, Cues
 
Descripció del contingut i pla d'activitats:
The need to understand the behaviour of the airport customer is crucial when optimizing the airport processes like the check-in, the security check-points or the boarding. Since modelling the behaviour of each individual passenger is not feasible, a statistical approach is proposed. A queue generator, using random processes, combined with the flight schedule information is going to be developed.
Considering the flight schedule and the capacity of the aircraft, a random generator will produce samples representing individuals who will feed the queue. Playing with the number of queues and the processing time, one will be able to assess the grown and decay of the queue, the length and space as well as the best set-up of the area to fit the crowd of people on the queue.
Working plan includes:
- State of the art review; random generators, airport processes management, crowd management, flight schedule information, aircraft fleet.
- Definition of the high-level structure of the simulator. Block diagram of the modules and functionalities
- Software development
- Test and validation
 
Overview (resum en anglès):
This project aims to design and implement a simulation of the queuing system at airport check-in counters, with the goal of analyzing passenger flow and time management. The motivation stems from a common observation long queues create discomfort and force passengers to arrive well in advance, negatively impacting their travel experience.

The simulator has been developed entirely in Python, building the queue logic from scratch and using libraries such as NumPy and Matplotlib to generate realistic scenarios and visualize them clearly. The model is highly flexible, allowing for adjustments to parameters such as the number of passengers, processing times, group sizes, and arrival patterns.

To validate its functionality, scenarios for both domestic and international flights have been simulated. The results show high waiting times and clear signs of system saturation when only one check-in counter is available, with a low percentage of passengers being processed within the operational timeframe.

This work highlights the importance of proper resource planning and provides a visual and adaptable tool for analyzing and improving operational processes in the airport context.

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