CBL - Campus del Baix Llobregat

Projecte llegit

Títol: Un algoritmo para la gestión de la cola de taxis en la terminal T1 del aeropuerto de Barcelona

Estudiants que han llegit aquest projecte:

Director/a: TRAPOTE BARREIRA, CÉSAR

Departament: FIS

Títol: Un algoritmo para la gestión de la cola de taxis en la terminal T1 del aeropuerto de Barcelona

Data inici oferta: 02-02-2024     Data finalització oferta: 02-10-2024


Estudis d'assignació del projecte:
    GR ENG SIST AEROESP
Tipus: Individual
 
Lloc de realització: EETAC
 
Paraules clau:
Aeropuerto, terminal, Barcelona, taxi, colas, control, gestión
 
Descripció del contingut i pla d'activitats:
El proyecto tiene como finalidad construir un modelo y un algoritmo de control y gestión de la cola de taxis en la T1 del Aeropuerto de Barcelona.

Las tareas son: descripción y caracterización del servicio en T1 BCN, estadística descriptiva, definición de la curva de presentación de pasajeros (demanda), análisis de la operativa de la oferta (taxi), definición de un algoritmo/modelo de gestión de cola, análisis de resultados.
 
Overview (resum en anglès):
This study focuses on improving taxi queue management at Terminal T1 of Barcelona-El Prat Airport, addressing the challenge of optimizing service to accommodate increased post-pandemic passenger traffic. Existing taxi management systems are thoroughly analyzed, and a new system based on analytical cameras is introduced, enabling real-time monitoring and more precise taxi availability management.

The study methodology includes a comprehensive analysis of taxi demand, considering profiles of both domestic and international passengers, and evaluating current management methods. An advanced algorithm is developed using flight arrival data to effectively manage taxi distribution, employing deterministic and cumulative models to adjust to unforeseen demand variations.

Analysis of passenger arrival patterns reveals flow patterns that inform efficient service planning. Two demand algorithm models are implemented and compared: deterministic, based on exact forecasts, and cumulative, which accumulates additional requests to manage unexpected variations.

Results show that the new system with analytical cameras significantly improves accuracy and efficiency in taxi management, reducing passenger wait times and optimizing available resources. Areas for future improvement are identified, such as deeper integration with other transportation modes and service customization based on specific passenger profiles.

In conclusion, this study underscores the importance of effectively managing taxi demand at congested airports like Barcelona-El Prat, emphasizing the need for advanced systems and adaptive algorithms to continuously enhance passenger experience and ensure efficient, accessible service.

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