Examining the impact of air transportation, tourism, and economic growth on PM2.5 pollution: a comparative analysis of EUROCONTROL member nations

The main objective of this paper is to present our vision of the role of automation in future air traffic management (ATM) system. It also includes an analysis and state of the art on ATM and automation. The content is based on HALA! position paper, that looks beyond the framework defined by SESAR and NextGen for the near future, and analyses the feasibility of higher levels of automation in ATM in the far future, taking into account the relationship between humans, organizations, and machines and scoping the allocation of functions, roles, and tasks between them. Taking into consideration the proposed SESAR&NextGen paradigm shift (trajectory-based operations; proactive, more distributed and autonomous system) and studies developed in ATM automation in the past years, the vision goes toward a more ATM automation system operation questioning even the possibility of fully automated ATM system. The understanding of higher levels of automation in ATM considers the “overall system performance” as main driver for the resulting “optimal” ATM level of automation. Implementation of above programs will change the human role in the future ATM system. In this regard, the vision considers ATM as sociotechnical system and orchestrated organization, overcoming the former consequences of automation, where some “human errors” caused from automation were found, to this new vision where human motivation for their engagement in the ATM activities, will be promoted. New roles between humans, organizations, and between them and machines will be derived by considering ATM as a complex sociotechnical multi-agent system. Under this assumption, it will be essential: to maintain a high degree of autonomy among different ATM agents and, simultaneously, an optimized level of orchestration among them. Three interdependent criteria to support the always controversial decision about where to dynamically allocate the ATM essential functions/tasks are proposed; when is the “best time” to take an operational action, where is the “best place” having the best picture to take it and, finally, who will be the “best player” to implement the associated tasks. As a result, the paper advocates for a different role of automation devoted to support a temporal, institutional, and physical distributed ATM system. It is also pointed out that research in ATM automation should always take under consideration the adequate level of automation in the far future ATM system and should always ensure the safety and reliability of a highly automated ATM system. Finally considers the need to align the research efforts into two different main activities of improvement, devoted to: aircraft trajectory hierarchal, spatial, and temporal cohesion and trajectory management.

As it is defined in ATM 2000+ Strategy (Eurocontrol 2001), the mission of the Air Traffic Management (ATM) System is: “For all the phases of a flight, the ATM system should facilitate a safe, efficient, and expedite traffic flow, through the provision of adaptable ATM services that can be dimensioned in relation to the requirements of all the users and areas of the European air space. The ATM services should comply with the demand, be compatible, operate under uniform principles, respect the environment and satisfy the national security requirements.” The objective of this paper is to present a methodology designed to evaluate the status of the ATM system in terms of the relationship between the offered capacity and traffic demand, identifying weakness areas and proposing solutions. The first part of the methodology relates to the characterization and evaluation of the current system, while a second part proposes an approach to analyze the possible development limit. As part of the work, general criteria are established to define the framework in which the analysis and diagnostic methodology presented is placed. They are: the use of Air Traffic Control (ATC) sectors as analysis unit, the presence of network effects, the tactical focus, the relative character of the analysis, objectivity and a high level assessment that allows assumptions on the human and Communications, Navigation and Surveillance (CNS) elements, considered as the typical high density air traffic resources. The steps followed by the methodology start with the definition of indicators and metrics, like the nominal criticality or the nominal efficiency of a sector; scenario characterization where the necessary data is collected; network effects analysis to study the relations among the constitutive elements of the ATC system; diagnostic by means of the “System Status Diagram”; analytical study of the ATC system development limit; and finally, formulation of conclusions and proposal for improvement. This methodology was employed by Aena (Spanish Airports Manager and Air Navigation Service Provider) and INECO (Spanish Transport Engineering Company) in the analysis of the Spanish ATM System in the frame of the Spanish airspace capacity sustainability program, although it could be applied elsewhere.

is a programme to modernise the European Air Traffic Management (ATM) System. It is currently in its feasibility definition study phase which is being co-funded by the European Commission and EUROCONTROL. It is addressing collectively the technological, economic and regulatory aspects associated with ATM. Following the successful completion of definition study phase, it will use the Single European Sky (SES) legislation to synchronise the plans and actions of the different stakeholders in ATM and federate the resources needed for the development and implementation of the required improvements throughout Europe; this applying to both the applicable airborne and ground systems domains. The study is being conducted over a 2-year period (which started in March 2006) by the SESAR Consortium, a grouping which, for the first time in ATM history, has brought together the major stakeholders in European aviation to develop a common vision of the future ATM System. The SESAR Consortium draws upon the expertise of the major organisations within the aviation industry. This includes airspace users, air navigation service providers (ANSPs), airport operators and the supply industry (European and non-European), plus a number of associated partners, including safety regulators, military organisations, staff associations (including pilots, controllers and engineers) and research centres which work together with significant expertise being provided by EUROCONTROL. The study will produce an agreed Master Plan of the research, development and implementation plans and actions needed to be taken by the different stakeholders to realise the future European ATM System. This Plan is developed through the production of 6 main deliverables over the 2 years and covers all aspects of the future System, including its supporting institutional framework. The scope of each the 6 deliverables (D1 to D6) is as follows : D1: Air Transport Framework – the Current Situation D2: Air Transport Framework – the Performance Target D3: Definition of the future ATM Target Concept D4: Selection of the “Best” Deployment Scenario D5: Production of the ATM Master Plan D6: Work Programme for 2008–2013. This paper will summarise the progress made to date by describing the results achieved within the deliverables D1 to D3. In outline terms, these cover : a summary snapshot of the current situation to identify the main areas of improvement; an assessment of the future air transport market place into which future ATM services will be delivered; the management and performance frameworks which will govern the future operation of the System and its further evolution; an initial set of performance requirements which the future System must meet; the nature of the Future ATM Target Concept, this comprising the concept of operations to be adopted; structure of the overall architecture needed for the System; set of technologies to be developed and used to implement it.

This paper presents Multi Objective Trajectory Optimization (MOTO) algorithms that were developed for integration in state-of-the-art Air Traffic Management (ATM) and Air Traffic Flow Management (ATFM) systems. The MOTO algorithms are conceived for the automation-assisted replanning of 4-Dimensional Trajectories (4DT) when unforeseen perturbations arise at strategic and tactical online operational timeframes. The MOTO algorithms take into account updated weather and neighbouring traffic data, as well as the related forecasts from selected sources. Multiple user-defined operational, economic and environmental objectives can be integrated as necessary. Two different MOTO algorithms are developed for future implementation in ATM systems: an en-route variant and a Terminal Manoeuvring Area (TMA) variant. In particular, the automated optimal 4DT replanning algorithm for en-route airspace operations is restricted to constant flight level to avoid violating the current vertical airspace structure. As such, the complexity of the generated trajectories reduces to 2 dimensions plus time (2D+T), which are optimally represented in the present 2D ATM display formats. Departing traffic operations will also significantly benefit from MOTO-4D by enabling steep/continuous climb operations with optimal throttle, reducing perceived noise and gaseous emissions.

†This paper presents a simplified analysis of probabilistic aircraft conflict management in the context of a future vision for the air traffic management (ATM) system. In such a future vision, the ATM system may include four-dimensional (4D) flight contracts that define conformance limits for aircraft position as a function of time, routine use of probabilistic approaches to pro-actively manage air traffic, and reduced aircraft separation standards. In the future ATM system, probabilities of conflict across multiple potential conflicting aircraft might be used as a means to assess and manage traffic situations with a longer look-ahead than is used in the current ATM system. We begin the analysis of such a future system by analyzing two-aircraft potential-conflict scenarios in the horizontal plane. We show how Monte Carlo simulation techniques can be applied to estimate probabilities of conflict (before deliberate actions are taken to resolve the conflicts) and how these probabilities depend on aircraft separation standards. Results are generated for multiple identical potential conflict pairs, with probabilities estimated as functions of angle of incidence. In order to better understand the implications of the results for future ATM operations, the modeling methodology is applied to find minimum speed changes and lateral deviations needed to achieve specified target probabilities of conflict across multiple independent potential conflict pairs. The analysis shows, in simplified scenarios, how application of appropriate speed changes and position deviations could be used to pro-actively manage air traffic, with probability of conflict serving as a metric. We draw preliminary implications for future ATM operations based on this simplified analysis. We also discuss how this analysis illustrates the role of relatively simple modeling approaches to systems engineering involving complex systems like the future ATM system.

The air transport market has a strategic character, promotes economic and social development, and has a strong correlation with the level of economic activity. The Air Traffic Management (ATM) system plays an essential role in air transportation and can be characterized as a sociotechnical system that is too complex to research through classical approaches such as systems engineering. In this sense, the application of Complex Network Theory (CNT) analysis and modeling paradigms is driven by the need to accommodate the growth of air traffic within an already saturated ATM infrastructure. The present work describes the development of a resilience evaluation model of ATM systems based on CNT, its metrics and analysis tools. The model was applied to the Brazilian ATM system, demonstrating its usefulness in identifying the air traffic control (ATC) agencies that have the greatest influence on the network. The results also showed that the Brazilian ATM network is resilient to random failures; however, it is particularly vulnerable to targeted attacks to the ATC agencies with the highest centrality. The research findings can be applied to prioritize the deployment of systems and equipment that enhance the resilience and operability of the Brazilian ATM system.

The Federal Aviation Administration (FAA) is funding and encouraging new concepts for improving air traffic flow management (TFM) decision-making. The resulting automation capabilities will need to be operationally integrated into the existing air traffic management (ATM) system. Understanding how a new capability will interact with existing system components is challenging because of the range of possible real-world situations, which must be handled by the ATM system. Although there are fast-time traffic simulation tools available for modeling the impact of TFM actions, they are often developed as stand-alone tools, which are not extensible or flexible to work in concert with other advanced TFM capabilities for conducting integration studies or quantifying benefits. To address this gap, we have built a fast-time, distributed simulation platform integrating state-of-the-art traffic simulator and allows the plug-in of advanced TFM prototypes — or other experimental capabilities that already exist — so their interactions can be studied. In this paper, we discuss the requirements and the necessary components for building this platform, which requires an architecture that is flexible enough to support many different configurations of modeling tools and applications. We then use a TFM integration case study to demonstrate the utility of the platform. We show, with only minor effort, a proposed TFM prototype can be plugged into the platform and its benefits can be evaluated.

With the continuous expansion of air traffic flow, the increasingly serious aviation network security threats have a significant and far-reaching impact on the safe operation of the aviation industry. The networked air traffic management (ATM) system is an integrated space–air–ground network integrating communication, network, satellite, and data chain technology, which adopts a network-centric structure to provide network-enabled services and applications for the air transportation system. In view of the serious network threats faced by networked ATM, this paper studies the basic theories and key technologies of ATM information security assurance and designs a credible security architecture to provide comprehensive and systematic security assurance for networked ATM. Starting from the problems and development trend of ATM security assurance, this paper investigates the dynamic and complex data processing process of ATM system, analyzes the complex interaction between its cyber and physical system, and then constructs the networked ATM cyber–physical fusion system model and threat model. Furthermore, the causal relationship between ATM security threat alert information is mapped into a Bayesian network, and the game model of networked ATM is proposed using Bayesian Nash equilibrium strategy. At last, the information security assurance architecture of networked ATM system based on blockchain technology is formed by establishing a distributed co-trust mechanism and multi-chain storage structure. We expect this paper to bring some inspiration to the related research in academia and aviation so as to provide useful reference for the construction of ATM safety and security system and the development of technology.

The air traffic management (ATM) system is an intelligent system that integrates the ground computer network, the airborne network and the space satellite (communication and navigation) network. It is connected by the ground-air data link system. Due to the openness and wide-area distribution, ATM system has many security risks, facing increasingly serious security threats, which may have an adverse impact on flight safety. In order to solve the potential cybersecurity risks in the ATM system, this paper presents an information security framework based on blockchain technology, called air traffic management blockchain (ATMChain). The ATMChain alliance blockchain network is composed of air traffic control departments, ground airport departments and System Wide Information Management centers, with specially designed block storage protocols and block structures. Through the use of a unique consensus mechanism for the civil aviation transport environment, it can achieve multicenter, secure, efficient and traceable ATM data sharing and data management. This paper presents security protection functions such as access control, data protection, identity authentication in ATMChain, and gives the protocol flow and system models diagram of these functions implementations. Finally, the analysis of the system is given. The scheme in this paper may help to improve the security and reliability of air traffic management business, and provide reference to the design and research of the fourth-generation air traffic management network.

This paper studies the flight path planning problem for a large-scale air traffic management (ATM) system. The goal is to find the optimal 4D path plan, represented by a sequence of waypoints and the corresponding time stamps, for each individual flight subject to weather and sector-capacity constraints of the overall system. We decompose the overall functionality of the ATM system into two interactive stages: traffic regulation and performance optimization. In the first stage, the ATM system, based on the existing flight plans, sets up traffic rules, namely, decides which sectors are still open to use over each future time slot, while in the second stage it optimizes the path plans for new flights subject to these traffic rules as well as the weather constraints. Through this decomposition, the performance optimization task can be done in a fully decentralized way and can be easily solved using dynamic programming. Such a decentralized strategy can handle a large number of flights, respects the structure of the current ATM system, and has a great potential to improve its performance with safety guarantees. The proposed algorithm is validated through a simulation based on real traffic data over the entire US airspace.

- Advancements in the digitization and automation of critical infrastructures, particularly in aeronautical Communication, Navigation, and Surveillance (CNS) technologies, have led to the merging of complex physical and information networks with artificial intelligence (AI) systems. This integration has significantly enhanced the capabilities of avionics and Air Traffic Management (ATM) systems, improving data processing, information sharing, and geographic coverage. However, these advancements also make these systems more vulnerable to cybersecurity threats, physical weaknesses, and risks to data integrity. The interconnected nature of CNS infrastructure, together with ATM systems, increases the likelihood of widespread attacks, as threats can rapidly spread across connected components. Consequently, both ATM and UAS Traffic Management (UTM) systems are facing growing security challenges. Although the concept of cybersecurity in aviation is not new, integrating it seamlessly into aviation systems continues to pose significant difficulties. As AI technology improves operational efficiency and reliability within aviation systems, it has also become a key area for emerging cybersecurity threats. AI-driven intrusions and thefts are progressively replacing traditional attack methods, prompting researchers to propose defensive strategies based on AI technology. This paper critically examines the cybersecurity vulnerabilities and threats that could impact ATM and UTM systems. It categorizes potential threat actors based on their goals, motivations, and capabilities, and explores various attack methodologies based on AI technology, alongside their defensive countermeasures. Key Words: Cybersecurity, Avionics, Autonomous Systems, Cyber Threats, Air Traffic Management (ATM), UAS Traffic Management (UTM), CNS+A

The current Air Traffic Management (ATM) system in the United States supports a wide variety of users in providing a safe and efficient air transportation system. The ATM system must continue to respond to the changing needs of its users, which include commercial and business aviation, general aviation, military and government, international aviation and ATM, and aviation-related businesses. One of the challenges in the ATM system evolution is to design the evolution of a Decision Support System (DSS)/automation architecture. This paper proposes a framework and a common language for understanding the different aspects of complex automation architectures using the ATM context as an example. © 2001 John Wiley & Sons, Inc. Syst Eng 4: 1–12, 2001

In response to growing air transport congestion, new air traffic management (ATM) concepts have been put forward to ameliorate existing problems. By their nature, ATM systems are highly complex, and their development and implementation require substantial financial resources. Moreover, the introduction of a new ATM system generates tangible as well as intangible benefits and costs. Therefore, a methodological framework capable of addressing all specific characteristics of the ATM system cost-effectiveness evaluation should be developed. The objective of this paper is twofold: first, to develop a methodological framework for evaluating the TORCH system (i.e., a new ATM concept for Europe), and second, to present the results of the application of the proposed framework for assessing the cost-effectiveness of the TORCH system. The proposed methodology was applied with the help of a panel of European ATM experts. The application results are intuitively appealing and indicate a strong convergence of the expert opinions concerning the most preferable ATM system. More specifically, the results of the evaluation suggest that an investment in TORCH will improve the safety, operational, and environmental performance of the ATM system as well as the working conditions of the air traffic controllers, and at the same time, the TORCH system will be marginally cost-effective.

A study on basic research priorities and development suggestions for the digital transformation of air traffic management

The SESAR (Single European Sky ATM Research) program is an ambitious research and development initiative to design the future European air traffic management (ATM) system. The study of the behavior of ATM systems using agent-based modeling and simulation tools can help the development of new methods to improve their performance. This paper presents an overview of existing agent-based approaches in air transportation (paying special attention to the challenges that exist for the design of future ATM systems) and, subsequently, describes a new agent-based approach that we proposed in the CASSIOPEIA project, which was developed according to the goals of the SESAR program. In our approach, we use agent models for different ATM stakeholders, and, in contrast to previous work, our solution models new collaborative decision processes for flow traffic management, it uses an intermediate level of abstraction (useful for simulations at larger scales), and was designed to be a practical tool (open and reusable) for the development of different ATM studies. It was successfully applied in three studies related to the design of future ATM systems in Europe.