The consumption of internal combustion vehicles and the resulting emissions associated with their operation have been at the forefront in the development of the automotive industry in recent years. This development is supported and required by a number of public administration organizations. This research deals with the monitoring of selected parameters for different types of means of transport, while the unifying element is consumption and emissions per passenger. The aim of the research is to determine the optimal vehicle for passenger transport for selected transport between two specific cities in Slovakia, Europe. The research used methods of analysis of energy intensity and emissions of individual transport units, while fuel consumption in a particular transport relationship is a decisive evaluation factor, which includes the calculation of experimental measurements in a real traffic situation. The various data and diagrams provide relevant data on the fuel consumption values achieved by the experiment converted to fuel consumption. The research is given as an example, and its principle can be applied in other specific localities. it can be applied to others, they may also apply to other transport routes.

By designing road infrastructure, it is necessary to adapt the real situation to current development trends and respond accordingly to the intensity of traffic on the transport network. The development of the traffic situation is generally very dynamic, difficult to predict and influenced by a number of other factors. Modern technologies enable adaptive traffic flow management based on the sharing and evaluation of traffic information obtained in real time from traffic monitoring systems or even from vehicles as such (e.g. thanks to “Connected Vehicles” technology). The article first carries out a literature review of professional literature and scientific articles dealing with the issue of autonomous mobility and autonomous management of transport processes. That is followed by a description and creation of own algorithm for autonomous control of vehicles at the level crossing, including description of used data, methods and proposed solutions. Finally, the developed method (algorithm) is tested by the Anylogic simulation program in a real environment, as a case study of autonomous vehicle decision-making at the level crossing.

Technical cleanliness is at the centre of attention in more and more sectors of the automotive industry. Its importance primarily lies in the need to ensure the correct function of components and it is necessary to take into account that impurities can affect the assembly and proper functioning of other components if they are connected together in the working circuit. Requirements for technical cleanliness vary according to the type and function of components and can be divided into two basic areas - chemical cleanliness (for example, lubricant contamination) and particulate cleanliness (particles and fibres). So-called clean production must include all areas up until final assembly - production, assembly, storage, transport and the packaging itself. In process chains, measures are taken to minimise contamination or particle generation to achieve a continuous and controllable standard of cleanliness. A special section is the cleanliness of the cable connectors, which is dealt with in this article. The introduction describes the current state of science and research in this field and then summarises the standard requirements in the automotive environment and the basic possible consequences of connector contamination. This is followed by a case study showing the possibilities of preventing contamination by particles and fibres, including a discussion of the effectiveness of these measures.

The presented article deals with research on the dependence between road vehicle fuel consumption and the longitudinal height profile of the road. The main research goal is to investigate the difference in fuel consumption during acceleration on different longitudinal profiles of the road (i.e., flat surface, downhill) based on the actual investigation. In the first part of the article, important factors influencing fuel consumption during vehicle acceleration are summarized and a review of literature dealing with this issue is carried out. The next part focuses on the very real-world measurement. In addition to fuel consumption, other parameters were recorded that could be detected by a professional measuring laboratory. In the final part of the article, all the recorded data are evaluated, compared with research question and an actual example is given. Based on the evaluation, it could be concluded that approx. 100 L of fuel can be saved in one week thanks to the implemented measures. Thereafter, recommended possibilities for further use of these findings in technical practice are outlined in the conclusion.

The developments that are occurring in relation to Industry 4.0 are making it possible to automate a huge number of production activities. Automation includes the possibility of automatically identifying individual elements of a system. One of the options for doing this involves the use of Bluetooth Low Energy technology. The system’s advantages lie in its wide availability, economic simplicity, ability to design individual system elements, and overall system architecture. The system applied in the case study presented in this article consisted of beacons from Accent Systems and identification gateways based on the Raspberry Pi Zero W device. During several hours of testing, the functionality and reliability of all system components was demonstrated. The measurements showed that the system was able to determine the distance from a gate in line of sight with 94% accuracy. With regards to indirect visibility, when a metal crate was used to shield the beacon from the gateway, the system was able to determine the exact distance only 22% of the time. However, the variance between the actual and measured values was found to be small, therefore proving sufficient for most use cases. The major advantage of Bluetooth Low Energy beacons, and Bluetooth technology in general, is its massive ubiquity in the market. Since the Bluetooth module is part of every smartphone, this system can be made available to a wide range of users.