According to the International Air Transport Association (IATA), air traffic levels in 2025 are expected to be approximately 20% higher than 2019 levels. Despite the challenges faced by the industry, air transport has demonstrated its resilience in the medium to long term. Moreover, new players such as drones, urban air mobility aircraft, and electric aircraft are expected to share the skies in the coming decades, providing new options for cargo and passenger transport, but also increasing the complexity of airspace management. To accommodate this growth, aviation systems must become smarter and innovate to ensure safety, fuel efficiency, cost efficiency, and adequate airspace capacity. In 2018 and 2019, airlines used all available airspace capacity, and in Europe, capacity constraints resulted in losses of over €1 billion per year. Furthermore, traffic levels are expected to surpass pre-pandemic levels during summer 2023.
Currently, air traffic control (ATC) is a highly manual process that relies on Air Traffic Controllers using equipment with minimal automation. Despite decades of research and expectations of automated solutions, ATCOs still rely on visual supervision of positions on a radar screen with limited alerts. This leads to a non-scalable system, facing a shortage of qualified personnel to meet expected traffic growth causing capacity constraints, delays, and environmental inefficiencies.
Our solution, Victor5, is a disruptive technology that brings machine learning to ATC. Victor5 offers a range of use cases that increase operational efficiency in the air traffic control room. It is a full-stack platform that enables the creation of a data lake for any airspace operation, allowing for in-depth analysis of environmental efficiency, safety assessments, workload, and providing a platform for higher levels of automation powered by AI. With Victor5, we aim to revolutionize the way ATC is conducted, providing a trustworthy and innovative solution to meet the growing demands of the aviation industry.