CNS/ATM
Communication, navigation, surveillance and air traffic management research.
Our research team focuses on research and development in the field of CNS/ATM technologies, operational procedures, and modern air traffic management concepts. We combine technical research on communication, navigation, and surveillance systems (CNS) with the analysis of operational processes and methods supporting the safe, efficient, and cost-effective provision of air traffic services. A significant part of our activities is oriented toward Air Traffic Management (ATM), automation, system resilience, and operational optimization in the dynamically evolving environment of air transport. The team combines expertise in air transport, navigation and surveillance systems, data processing and visualization, operational analysis, and airspace modeling. Our research activities include, for example, the study of GNSS signal interference impacts on aviation operations, the implementation of systems enhancing airport surface situational awareness, optimization of airspace capacity prediction, as well as airspace and traffic flow management within ATM. Through our research activities, we address current technological and operational trends in aviation, particularly in the areas of digitalization, automation, and integration of new systems into the ATM/CNS environment. We also focus on the development and validation of methods and tools contributing to the safety, efficiency, and resilience of aviation infrastructure and future air traffic management concepts.
Team Members
Selected Projects
Surface Movement Awareness System Service implementation on regional airports in Czech Republic
The project aims to implement and validate a concept of operations based on the forthcoming Surface Movement Awareness System Service (SMAS) standard at a regional airport in the Czech Republic. The project proposal also contains a safety study that shall be conducted before implementing the concept of operations and assessing whether the concept of operations meets the necessary level of safety for future SMAS operational certification. Another objective is the development of a surveillance application compliant with the SMAS standard, based, among other things, on Automatic Dependent Surveillance-Broadcast (ADS-B) surveillance data, with the possible addition of Human Machine Interface (HMI) elements and alerting functions according to the requirements of the project partner Kunovice Airport. Also, the project aims to address the interoperability of the surveillance application developed according to the SMAS standard with other surveillance and operational tools/systems that may already be implemented at the airport. The need to address interoperability is based on the limitations of SMAS, which does not provide data fusion functionality with other systems.
System for Analysis of Complexity and Optimization of Air Traffic
The project is focused on the research and development of advanced tools for the analysis and optimization of air traffic as a highly complex system. Increasing operational demands require new approaches to the analysis of large-scale and heterogeneous data, as well as the development of advanced metrics enabling a deeper understanding of air traffic system behavior. Within the project, two interconnected tools will be designed and implemented. The first output will be a tool for automated analysis of operational data, providing comprehensive metrics and detailed insight into air traffic dynamics. The second output will be a highly accurate prediction tool for sector and air traffic controller workload, enabling efficient planning and the direct optimization of air traffic management.
The aim is to assess and improve the resilience of the Czech aviation infrastructure against GNSS signal spoofing. GNSS signal spoofing refers to the illegal spoofing of a false navigation signal on frequencies intended for satellite navigation. Depending on the severity, this false signal may either completely change the receivers calculated position or lead to a loss of time synchronization and the inability to continue using the system. The project aims to test and analyze the resilience of the ground-based air traffic control infrastructure toward GNSS spoofing, describe suitable procedures to test the resilience against spoofing, and propose a possible method of spoofing detection using a combination of surveillance systems, in particular ADS-B.