The work for both flight crews and ATCOs can have no room for errors as their decisions have a direct implication on the safety of the passengers on board. The ATC decision-making process is a multicriteria problem which considers numerous aspects, such as the environmental aspects, safety aspects, and efficiency aspects. Through the continuous feeding of coordinates data from the aircraft, the air traffic control officers’ (ATCOs) main responsibility is to ensure safety in the regulated airspace by resolving potential conflicts and perform efficient air traffic management (ATM) in the terminal manoeuvring area. Yet, the potential of digital twin-based automation technologies is yet to be unleashed in numerous industries, such as for air traffic operations in the aviation industry.Īviation remains human-centred and requires collaboration between different parties. Numerous real-world applications of automation technologies can be found for daily life usage, from the development of intelligent transportation systems to the transformation into a smart city. These intelligent approaches raise the operational efficiency, prevent delays, provide additional support to human intelligence, and reduce an individual’s mental workload.
ADD THIRD PARTY AIRCRAFT TO REALFLIGHT 7 FULL
Data sharing and open data initiatives have been proposed by Airbus in their Skywise application-with the use of the full potential of aviation operational data with artificial intelligence-driven data analytics. The gradual technological growth of artificial intelligence made adaptive decision aids possible, thereby reducing the occurrence of human errors. Complicated and time-consuming processes could be shifted to automated processes so that the time and effort spent on those tasks could be trimmed. In the 21st century, various intelligent automation technologies have been deployed widely to boost the efficiency of production and operations. The results demonstrated convincing performance and a promising system robustness in both domains. The latency is presented using its 95% confidence interval, and integrity is presented using the percentage of data loss during wireless transmission. A performance analysis via a flight task undertaken with different computational load settings was prepared to evaluate the platform’s latency and integrity. Collaborative decision-making training and the corresponding intelligent automation aids could be realised and supported.
Given the lack of a collaborative decision-making training platform for air traffic operations in the industry, this study utilises the concept of cyber-physical systems (CPS) to formulate a system architecture for pilots and air traffic control officers training in collaborative decision making by linking and integrating the virtual counterparts of flights and air traffic control operations. Nevertheless, aviation remains human-centred and requires collaboration between different parties. Automation technologies have been deployed widely to boost the efficiency of production and operations, to trim the complicated process, and to reduce the human error involved.