Browsing by Author "Mas Pujol, Sergi"
Now showing items 1-9 of 9
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A novel methodology to predict regulations using deep learning
(Single European Sky ATM Research (SESAR), 2020)
Conference report
Open AccessThe current air traffic control system tries to allocate as many flights as possible in a scenario that is expected to be time-efficient, cost-efficient, and safe. To guaranty these safety conditions, it is performed a ... -
Counting-by-Detection with Three-dimensional Fully Convolutional Networks
(Universitat Politècnica de Catalunya, 2018-01-25)
Bachelor thesis
Open Access
Covenantee: École polytechnique fédérale de LausanneThe project goal is to count and detect instances in an image using deep learning. We target the regime where object detectors need to work reliably in scenarios with crowding, overlapping or instances with a small size. ... -
Deep learning techniques for demand-capacity balancing
(Universitat Politècnica de Catalunya, 2023-05-12)
Doctoral thesis
Open Access(English) Nowadays Air Navigation Service Providers (ANSPs) have to handle and accommodate a continuously increasing traffic demand in a scenario that is expected to be more time-efficient and cost-efficient. Meeting the ... -
Dispatcher3 - D5.2: Verification and validation report
(2022-12-09)
Research report
Restricted access - publisher's policyThe deliverable provides the results from the verification and validation activities within Dispatcher3 project. The document reviews the internal and external validation activities that were carried out during the course ... -
Dispatcher3 – Machine learning for efficient flight planning: approach and challenges for data-driven prototypes in air transport
(2022)
Conference report
Open AccessMachine learning techniques to support decisionmaking processes are in trend. These are particularly relevant in the context of flight management where large datasets of planned and realised operations are available. ... -
Image-based multi-agent reinforcement learning for demand–capacity balancing
(Multidisciplinary Digital Publishing Institute (MDPI), 2022-10-14)
Article
Open AccessAir traffic flow management (ATFM) is of crucial importance to the European Air Traffic Control System due to two factors: first, the impact of ATFM, including safety implications on ATC operations; second, the possible ... -
Pre-tactical prediction of atfm delay for individual flights
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessAirlines develop an operation plan, during the day prior to operations (D-1), to identify potential network issues and prepare potential pre-tactical preventing measures such as aircraft tail swapping or crew reassignment ... -
Predict ATFCM weather regulations using a time-distributed recurrent neural network
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Restricted access - publisher's policyIn recent years, prior to COVID-19, capacity shortfalls in airspace and airports inevitably caused an increase in aircraft delays. Therefore, when it returns to normal conditions, the airspace will exhibit the same capacity ... -
RNN-CNN hybrid model to predict C-ATC CAPACITY regulations for en-route traffic
(Multidisciplinary Digital Publishing Institute (MDPI), 2022-02-01)
Article
Open AccessMeeting the demand with the available airspace capacity is one of the most challenging problems faced by Air Traffic Management. Nowadays, this collaborative Demand–Capacity Balancing process often ends up enforcing Air ...
