[HTML][HTML] A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory
Air Traffic Management (ATM) will be more complex in the coming decades due to the
growth and increased complexity of aviation and has to be improved in order to maintain …
growth and increased complexity of aviation and has to be improved in order to maintain …
The adoption of artificial intelligence powered workforce management for effective revenue growth of micro, small, and medium scale enterprises (MSMEs)
Artificial intelligence (AI) has been used in various industries to provide innovative and
intelligent features in micro, small and medium enterprises (MSMEs). Big industries started …
intelligent features in micro, small and medium enterprises (MSMEs). Big industries started …
[HTML][HTML] A novel dynamic approach for risk analysis and simulation using multi-agents model
Static risk analysis techniques (SRATs) use event graphs and risk analysis assessment
models. Those techniques are not time-based techniques and hence are inadequate to …
models. Those techniques are not time-based techniques and hence are inadequate to …
[HTML][HTML] Impact of cost approximation on the efficiency of collaborative regulation resolution mechanisms
Abstract Air Traffic Flow Management (ATFM) measures are often used to alleviate capacity
demand imbalances. Usually, these measures impose a departure delay on flights crossing …
demand imbalances. Usually, these measures impose a departure delay on flights crossing …
[HTML][HTML] Domain-driven multiple-criteria decision-making for flight crew decision support tool
During the flight, the crew might consider modifying their planned trajectory, taking into
account currently available information, such as an updated weather forecast report or the …
account currently available information, such as an updated weather forecast report or the …
An ILP approach for tactical flight rescheduling during airport access mode disruptions
G Scozzaro, C Mancel, D Delahaye… - International …, 2024 - Wiley Online Library
Airport access mode disruptions, such as a subway shutdown, threaten the whole
passenger door‐to‐door journey. When such a disruptive event occurs, knowledge of …
passenger door‐to‐door journey. When such a disruptive event occurs, knowledge of …
[HTML][HTML] Explainable active learning metamodeling for simulations: Method and experiments for ATM performance assessment
The use of Air traffic management (ATM) simulators for planing and operations can be
challenging due to their modelling complexity. This paper presents XALM (eXplainable …
challenging due to their modelling complexity. This paper presents XALM (eXplainable …
[HTML][HTML] Prediction of ATFM impact for individual flights: A machine learning approach
S Mas-Pujol, L Delgado - Expert Systems with Applications, 2024 - Elsevier
Abstract Air Traffic Flow Management regulations consist of issuing pre-departure ground
delays to deal with demand-capacity imbalances in the airspace, smoothing out the demand …
delays to deal with demand-capacity imbalances in the airspace, smoothing out the demand …
Pre-tactical prediction of ATFM delay for individual flights
Airlines 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 …
potential network issues and prepare potential pre-tactical preventing measures such as …
[PDF][PDF] Active learning metamodels for atm simulation modeling
Transportation systems are particularly prone to exhibiting overwhelming complexity on
account of the numerous involved variables and their interrelationships, unknown stochastic …
account of the numerous involved variables and their interrelationships, unknown stochastic …