Search

The rapid development of industry results in large energy consumption and a negative impact on the environment. Pollution of the environment caused by conventional energy sources such as petrol leads to increased demand for propulsion systems with higher efficiency and capable of energy-saving and emission reduction. The usage of hybrid technology is expected to improve energy conversion efficiency, reduce energy consumption and environmental pollution. In this paper, the simulation platform for the hybrid unmanned aerial vehicle (UAV) has been built by establishing the subsystem models of the UAV power system. Under the two chosen working conditions, the conventional cruise flight mission and the terrain tracking mission, the power tracking control and Q-Learning method have been used to design the energy management controller for the hybrid UAV. The fuel consumption and pollutant emissions under each working condition were calculated. The results show that the hybrid system can improve the efficiency of the UAV system, reduce the fuel consumption of the UAV, and so reduce the emissions of CO 2 , NO x , and other pollutants. This contributes to improving of environmental quality, energy-saving, and emission reduction, thereby contributing to the sustainable development of aviation.

Accurate navigation systems allow us to optimize the trajectory of flying objects and thus solve environmental problems in aviation and their impact on public health. In this paper, we present one of the methods of assessment of accuracy and resistance to interference of distance-measuring equipment (DME). By using computer technology, the method enables us to determine the potential but also the real error measuring the distance of the flying object from DME. The credibility of the respective results of the solution on the task of DME optimal rangefinder synthesis depends on the accuracy of the previous data used, i.e., mathematical models of the respective flying objects flight dynamics, useful signals, and their parameters and interference. DME systems have an impact on air transport safety, and therefore the impact of interference on their operation must be investigated., Competing Interests: The authors declare no conflict of interest.

Accuracy is an important factor in air traffic management which is why high requirements are necessary for each navigation system. The aim of this article is to describe the principles of the RelNav system and telemetry and their accuracy. We present the algorithms of the relative navigation system, which could be used for air traffic control in the case of the unavailability of satellite navigation system signals. This article sums up the different positioning methods, and deals with the accuracy of the relative navigation system (RelNav). Furthermore, the article considers the factors that influence the positioning accuracy. For this task, a computer simulation was created to evaluate the accuracy of the telemetric method. Next, we discuss the principles of telemetry and algorithms for calculating the position of the flying object (FO).

The purpose of this paper is to develop an applied fuzzy model of information technology to obtain quantitative estimates of environmental start-up projects in air transport. The developed model will become a useful tool for venture funds, business angels, or crowdfunding platforms for the development of innovative air transport businesses. Obtaining a quantitative estimate of the environmental start-up projects will increase the sustainability of the decision making on the security of financing of such projects by investors. This article develops a fuzzy evaluation model of project start-ups in air transport as an application of our neuro-fuzzy model in a specific air transport environment. The applied model provides output ranking of start-up project teams in air transport based on a four-layer neuro-fuzzy network. The presented model declares the possibilities of the application to solve these economic problems and offers the space for subsequent research focused on its usability in several areas of start-up development, in sectors and processes differentiated. The benefits are also visible for several types of policies, with an emphasis on decision-making processes in regulatory mechanisms to support the state funding in Slovakia, the EU etc.

The purpose of this paper is to develop a fuzzy model of the risk assessment for environmental start-up projects in the air transport sector at the stage of business expansion. The model developed for the following software will be a useful tool for the risk decision support system of investment funds in financing environmental start-up projects at the stage of market conquest. Developing a quantitative risk assessment for environmental start-up projects for the air transport sector will increase the resilience of making risk decisions about their financing by the investors. In this paper, a set of 21 criteria for assessing the risk of launching environmental start-up projects in the air transport sector were formulated for the first time by presenting inputs in the form of a linguistic risk assessment and the number of credible expert considerations. The fuzzy risk assessment model, based on expert knowledge, uses linguistic variables, reveals the uncertainty of the input data, and displays a risk assessment with linguistic interpretation. The result of the paper is a fuzzy model that is embedded in a generalized algorithm and tested in an example risk assessment of environmental start-up projects in the air transport sector., Competing Interests: The authors declare no conflicts of interest.

The article deals with the characteristics of the provision of air traffic services (in member states of European Civil Aviation Conference (ECAC)), as one of the main subject supporting global tourism, as well as with the selection of suitable candidates for the air traffic controller profession and the means and methods that are being used for the selection of eligible candidates. The authors present an original elaboration of approaches to selection processes in the Czech Republic in the context of the current development of European security and the perception of the human factor as a critical element of security and safety in air transport. In doing so, the authors use content analysis, as the results of empirical surveys present the results of discrete research surveys and evaluations based on explorative methods. [ABSTRACT FROM AUTHOR]

The paper in the introductory part informs on the structure of jet engines emissions and introduce some facts regarding the timing progressive development in the area of aviation emissions reducing. The second part of the paper is focusing on introducing selected information concerning strategies and goals of the international aviation organizations (especially ACARE and IATA) as well as the European Commission in reducing emissions from air transport issue, including principle information on EU Emissions Trading System and its relationship toward aviation emissions inclusion and ambitious goals specified in document Flightpath 2050 regarding environmental impact of aviation. Authors shortly present the EU Framework programmes for research and technological development, including the newest Horizon 2020 research and innovation programme, whereby are focusing on the selected aviation research projects under the 7th FP as are REACT4C, DREAM and ALFA-BIRD projects. The part of paper is dealing with Clean Sky Joint Technology Initiative and introduction of six Integrated Technology Demonstrators - projects objectives and developed technologies to significantly increase the environmental performances of aircraft and air transport. In this regard authors pay also considerable attention to description of Clean Sky 2 programme mainly from its scope and key elements point of views. The last part of the paper is focused on the selected issue concerning the SESAR programme underlining the key environmental achievements. [ABSTRACT FROM AUTHOR]