The aim of the project is to verify the prototype production of deformation blocks, including their deployment in roads in cooperation with the Directorate of Roads and Motorways of the Czech Republic. 4 prototype bridges with deformable blocks in different landscape conditions will be built and subsequently their response to road traffic and the behaviour of the surrounding subsoil will be monitored and measured. In particular, the displacements, vibrations and deformations of the blocks and the top cover layer will be sensed depending on the applied load from passing vehicles.

The project is focused on development of a knowledge management system in air transport with utilization of ontology engineering in the domain. The goal of the project is application of quality and reliability conceptual modelling to represent knowledge and correlations in quality and reliability data. The emphasis in the project will be put on the extraction of key information from non-structured data and on the research of possibilities for transformation of non-structured data to structured data. The project will lead to establishment of a knowledge management system of aviation quality and reliability, for the purpose of domain knowledge management, its extraction and further utilization in the industry. Project results will be validated by means of case studies in real conditions, as a support for decision making about quality and reliability assurance in the aviation.

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 analyse 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.

The main goal of the project is research and development of the electronic system providing the remote speed limitation of vehicles that will be activated exclusively by security force during security situations. The primary purpose of the system is to safely stop persecuted vehicles without the use of destructive coercive means (vehicle displacement, firearm strike, stopping belt, etc.), thereby increasing the safety of intervening security forces and reducing property impacts. The project will result in the design of the novel concept of the system and its verification by functional samples of communication modules. Due to the sensitivity of data communication, the project will be solved with an emphasis on information and system security with protection against cyber threats.

The subject of the project is strengthening the resilience of land transport critical infrastructure (CI) entities. The project is focused on CI entities according to the current legislation with an overlap to critical entities according to the proposal for a European Union Directive on the resilience of critical entities (COM/2020/829). The benefit of the project is the creation of a methodology for strengthening the resilience of land transport CI entities, specialized public databases of application tools for strengthening the factors determining the technical and organizational resilience of these entities and software tool to support practical application. These results will meet the requirements arising from the implementation of the above directive into the national environment.

In the project, the most recent methods of experimental dynamics will be combined with the state-of-the-art lab-based in-situ X-ray imaging to get an unprecedented insight into deformation behaviour of complex materials at intermediate and high strain rates. A flash X-ray system and high-power X-ray tube will be employed together with high-speed imaging equipment (high speed cameras and detectors) to investigate the internal processes in the materials during dynamic loading. Significant effort will be aimed at novel cellular and layered materials filled with strain rate sensitive fillings while the effects of shear thickening fluids and fluids with nanoparticle inclusions will be investigated in particular. In this field, the combination of X-ray imaging with instrumented dynamic experiments will reveal fundamental aspects of the deformation response of the materials and their failure mechanisms. The results will be used to formulate and validate theoretical assumptions and models with a special aim on the internal processes that can be conventionally inspected only indirectly.

The goal of the project is to develop and experimentally validate a new structural panel for energy absorption applications with unique properties based on polymeric cellular core and nanocrystalline metal coating. The strain-rate sensitivity of the strut material (polymeric foam and auxetic) will be achieved by micro inertia of the coated framework showing a stretching-induced additional amount of energy dissipation. Design optimization of such a structure requires in-deep investigation of the deformation behaviour for the given specific impact conditions. Advanced numerical modelling will be performed at all structural levels, from cell wall mechanics up to whole panel behaviour. For this, a combination of several experimental methods (micro-CT, static compression, drop tests, SHPB and gas gun experiments) will be used. The experimental results will be used to validate our FE models describing the deformation behaviour at small to high velocity impacts. The project is building upon our previous experiences with numerical/experimental optimization of metal foams and auxetics.

The emergence of the NCC Centre is a response to strong demand for products and solutions to ensure cybersecurity of critical and non-critical information infrastructures. The Centre brings together top research institutes and long-term cybersecurity industries to do collaborative R&D in cybersecurity solutions at the HW and SW level and mechanisms for certifying security features of the products. With its industry partners, the Centre will seek to deploy the solutions in the ever-growing cybersecurity market. It will strengthen the Czech industry and research at European and world level.

The centre is established within the performance of Hydrogen Strategy for Climate Neutral Europe and Hydrogen Strategy of the CR, which reflects the target of the European Green Deal to reach climate neutrality by 2050. The Centre covers activities of key players in the CR in the field of hydrogen technologies and is based on the principles of integral ecology. Centre’s strategic objectives: 1. R&D&I support of greenhouse gases emission reduction in transport with the use of hydrogen technologies, 2. support of economic growth of the CR in relation to introducing hydrogen technologies in transport. The goal of the Centre is to support acceleration of the implementation process of hydrogen technologies at minimized related costs and to support balanced production and consumption of hydrogen.

The aim of the project is to make more efficient use of multimodal transport information for the purpose of verifying proposals and new technologies. A digital model of a real transport environment using current traffic data will be created. At the same time, a new set of methods and algorithms for automated preprocessing and fusion of measured traffic and IoT data will be created and new procedures for continuous calibration of simulation models will be established. The result will be demonstrated on the example of Evropska street in Prague. The resulting simulation-modelling framework will also be the basis for the future development of new services and algorithms. The adopters will be able to determine the impact e.g. on traffic flow or the environment before the actual implementation.

The scope is to analyse, design, test and validate predictive diagnostics of ITS using AI approaches. The project responds to the requirements and needs of transport and technological infrastructure administrators, by optimising operation and maintenance, that are significant in the budget. The economic benefit of diagnostics will be the implementation of maintenance at the time of need which allows optimization of costs. The results will be a stand-alone SW integrating IoT protocols according to the interfaces. The process of predictive diagnostics will also reflect the new trends including cybersecurity and reliability. Potential users will be admins of technological systems (tunnels, traffic control, etc.) and services. The acquired know-how can also be transferred to other technical fields.

The aim of the project is to develop a new method for railway superstructure emission noise assessment. The principle will be a combination of optical and acoustic sensors placed in the near field of the rail-wheel contact, which will isolate the rolling noise emission from other noise-generating phenomena during a train passing. Thus, it will be possible to assess the acoustic emission of the railway superstructure itself and to monitor its quality in a continuous, systematic, and non-invasive way and in a much shorter time than during other static assessments. Early detection and trend monitoring will allow to optimize the maintenance and will prevent rail lifespan shortenings and excessive noise emission. The detection will also significantly support the processes digitization.

The aim of the project is to uniquely identify and describe the cybersecurity risks associated with the operation of connected, collaborative and autonomous vehicles in the exchange of information between vehicles, vehicle, and telematics systems on transport infrastructure and in traffic information and control centres from the road manager using C-ITS data communication. Cybersecurity issues related to a reliable localization system for autonomous vehicles based on HD maps will also be considered. At the same time, it is the ambition of the researchers to propose appropriate measures, procedures, and processes to ensure this digital security of autonomous vehicle operations, including validation of the proposed solution on working samples. We will cover whole chain of digital cybersecurity.