AI is playing an increasingly pivotal role in air transport, with nearly 90% of companies developing or deploying such technology. A number of AI-based solutions are currently being used by airlines and airports in areas such as fuel optimisation, air traffic control, in-flight services, and vehicle maintenance.

The sky is the limit, however, as air transport continuously generates enormous amounts of data, providing further opportunities to develop AI solutions that can enhance efficiency, improve the passenger experience, and support sustainability goals, as noted by Dániel Berecz, Head of Engineering at Lufthansa Systems.

Rising demand in aviation and the role of ai

The demand for air passenger and cargo transport is growing dynamically, with predictions indicating that demand will double by 2040, growing at an annual average rate of 3.4%. This potential is immense for the sector, yet it also brings several challenges. Airlines are striving for efficiency, excellent customer service, and full compliance with industry standards and sustainability goals. However, they face significant hurdles, such as extreme weather conditions due to climate change, rising environmental expectations, and a severe skills shortage in the industry.

The global aviation software market is projected to be worth $10.68 billion by 2023, with forecasts indicating strong growth in the coming years. This trend is driven by the fact that 86% of airlines report collaborations with innovation partners on AI and ML (machine learning) projects, and 16% of airports are using these technologies, mainly to support decision-making processes. But how exactly is AI helping the aviation industry? Let’s explore specific examples.

Sustainability and cost efficiency

AI plays a crucial role in enhancing fuel efficiency, primarily through the use of predictive analytics. By analysing various factors such as weather patterns, flight routes, aircraft performance, and passenger traffic AI algorithms can effectively optimise fuel consumption and its associated costs, aligning fully with the aviation industry’s environmental objectives. For example, SkyBreathe, an AI-based fuel efficiency platform, uses real-time data to reduce fuel burn, providing both environmental and cost benefits.

Another notable area where AI contributes is the forecasting of food and beverage needs on flights. Accurately predicting the amount of food and drink required not only reduces waste but also ensures that passengers have the items they need during their journey. The use of predictive AI tools in supply chain management can have a significant impact on the carbon footprint of airlines, thereby supporting sustainability initiatives.

The artificial air traffic controller

Air traffic control (ATC) is a core component of the aviation industry, requiring immense concentration, quick decision-making, and precise coordination. Today, there is a significant shortage of skilled ATC personnel, and this is where AI solutions come into play. AI models based on reinforcement learning are already in use, assisting human controllers by providing recommended actions based on real-time data and historical scenarios.

AI systems, such as those developed by NASA and SESAR, learn by analysing feedback on their actions, continuously improving their recommendations. Though the role of AI is currently assistive, future advancements could lead to increasingly autonomous air traffic control solutions, alleviating workload and enhancing safety in one of the most demanding areas of aviation.

AI-based image recognition for faster operations

Image recognition technologies powered by AI are revolutionising several operational aspects of aviation, especially at airports. AI-based image recognition tools can quickly identify potential problems at gates, maintenance stations, or service counters. This capability provides airline companies with reliable data to optimise performance and make timely decisions, which helps reduce delays and increase efficiency.

For example, AI-enhanced cameras can monitor the movement of ground vehicles and personnel, ensuring all necessary procedures are completed accurately and on schedule. The future of AI in operational challenges also includes predictive maintenance, where algorithms analyse wear and tear on aircraft parts, allowing proactive scheduling of repairs before failures occur—thus improving safety and cutting costs.

Personalising passenger experience

As AI continues to evolve, it will increasingly contribute to personalised experiences across the aviation industry from the moment a passenger books a ticket to the end of their journey. AI-powered chatbots, such as Amelia, are being used by many airlines to handle customer inquiries, provide flight information, and assist with booking processes. These chatbots use natural language processing (NLP) to deliver personalised and timely customer support.

Another area where AI is making an impact is digital check-in, where passengers can enjoy a smoother process thanks to automated services that adjust to their preferences. Additionally, AI can generate personalised travel recommendations based on individual preferences and past behaviours, enhancing the overall travel experience and fostering customer loyalty.

Transparency and regulation: ai in aviation

Despite these promising advances, AI in aviation must overcome several challenges. One major area of concern is navigating the complex regulatory environment. For example, compliance with the European Union’s AI Act and General Data Protection Regulation (GDPR) requires careful consideration to ensure data privacy and ethical AI usage. Each airline also has to adhere to country-specific rules, which can further complicate AI deployment.

In the development of aviation-related AI solutions, adhering to ethical AI guidelines is essential for fostering trust and transparency. Such transparency is crucial for both consumers and regulators, who are concerned about potential biases and the safety implications of AI technologies in critical systems. Collaboration with stakeholders including government bodies, regulatory agencies, and technology partners is fundamental to overcoming these obstacles.

Fostering innovation: ai research and development

Lufthansa Systems, among other major players, is investing heavily in AI research. They are investigating new solutions, such as on-board food waste prediction, optimisation of cabin services, and even more efficient routing to minimise delays. Airlines such as Delta and British Airways are also exploring AI-driven innovations to enhance not just operational efficiency but also the passenger experience and safety.

This ongoing research into AI technologies is critical as it helps airlines meet evolving customer expectations while dealing with industry-specific challenges. As AI adoption expands, we can expect aviation to become more efficient, environmentally friendly, and customer-oriented.

AI is transforming the aviation industry, from optimising fuel usage and enhancing air traffic control to creating personalised passenger experiences and predictive maintenance. The road ahead is challenging, especially with complex regulations and ethical considerations, but the benefits are substantial. By strategically implementing AI solutions, the aviation industry can look forward to increased efficiency, enhanced passenger satisfaction, and a positive environmental impact ultimately taking aviation to new heights.

Source: lhsystems