The paper is focused on the issue of assessing the quality of transport connectivity on a predesignated transport network in regular public passenger transport at a regional scale. Comprehensively, using the defined key qualitative indicators, it assesses the performance of passenger transport timetables, in both ways of ex ante, as well as ex post. Existing methodologies in a given issue have only dealt with a partial assessment of the transport connectivity quality on specific transport network. However, unlike them, the objective of this manuscript was to propose a new unified methodology to assess the passenger transport timetables in terms of transport connectivity, and subsequently to complexly evaluate the whole predesignated regional transport network from a qualitative point of view. In this paper, the proposed methodology is demonstrated on a particular regional transport network, specifically an existing railway network in the Slovak Republic, whereby the data related to regional passenger transport timetables for a certain day is an input factor. The purpose of this study was to design and verify a draft methodological procedure to assess the quality of transport connectivity on a certain transport network, thus moving towards more effective evaluation of integrated transport systems. Its practical applicability consists in comparison of existing and proposed timetables, which is considered one of the crucial factors in terms of public passenger transport quality.

This paper deals with waste management. The aim is to find out whether the number of municipal mixed waste bins can be reduced due to the impact of waste separation and to determine the optimum municipal waste collection cycle within a predesignated area with an existing urban road network. The number of mixed waste bins depends on two factors—household waste volume and household waste composition. Both of these factors have a significant impact on the number of mixed waste bins required, with household waste composition being of particular importance when it comes to calculating the potential reduction in the number of mixed waste bins required due to waste separation. The calculations for the weight and volume of mixed household waste per person and the composition (types) thereof are presented accordingly. The results reveal which types of waste are the most useful in minimising the number of mixed waste bins by up to 30–50%. To determine the optimum waste collection cycle within the predesignated area with a real urban road network, the Nearest Neighbour Search method was applied. In the discussion, the focus is on whether other methods, including the Two-Phase Heuristic approach and the Bellman-Ford Algorithm, could be applied to solve the problem, whereby parameters such as application time and the capacity of the waste collection vehicle are compared.

The aim of this article is to modify the parameters and thus the objective function of the deterministic model of inventory theory so that other important aspects, which influence inventory management, can be taken into consideration. These aspects include the nature of inventory consumption, the share of inventories in sales, the capacity of means of transport and, above all, the reliability of suppliers. This goal is achieved by performing sophisticated and specific calculations for the individual parameters in the modified model. The modification of the objective function of the deterministic model has created a new multi-criteria model. The outcome of this model sought to optimize the supply process in a way that minimizes the risks associated with a lack of inventories while maintaining the economic effectiveness thereof. The model effectiveness is examined by comparing the application of the deterministic model and the proposed model with modified objective function. The results of applying these individual models have been produced based on calculations of indicators showing inventory management effectiveness—the speed of inventory turnover and the average number of inventories in storage.

Transport is an area that is developing at a tremendous pace. This development applies not only to electric and hybrid cars appearing more and more often on the road but also to those of an autonomous or semi-autonomous nature. This applies to both passenger cars and vans. In many different publications, you can find a description of a number of benefits of using automated guided vehicles (AGV) for logistics and technical tasks, e.g., in the workplace. An important aspect is the use of knowledge management and machine learning, i.e., artificial intelligence (AI), to design these types of processes. An important issue in the construction of autonomous vehicles is the IT connection of sensors receiving signals from the environment. These signals are data for deep learning algorithms. The data after IT processing enable the decision-making by AI systems, while the used machine learning algorithms and neural networks are also needed for video image analysis in order to identify and classify registered objects. The purpose of this article is to present and verify a mathematical model used to respond to vehicles’ demand for a transport service under set conditions. The optimal conditions of the system to perform the transport task were simulated, and the efficiency of this system and benefits of this choice were determined.

The article deals with the analysis of selected technical and economic aspects that influence decision making process when choosing a car with an electric drive - an electric car. Environmental friendliness is beginning to be one of the key as...

The automotive sector has been experiencing a rapid development in recent times. Modern trends aim at the progress of so-called sustainable, eco-friendly vehicles, in many cases associated with advanced technologies and assistance systems. It is increasingly common to see cars with electric, hybrid, gas or hydrogen propulsion systems. Such approaches can create a transformation of manufacturing processes towards the growth of new types and fields of technologies and systems in the automotive industry. The manuscript discusses the subject of vehicles with various types of power supply, i.e., propulsion system. The investigation was executed with different respondent groups whereby the analysis was performed predominantly by using two merging criteria such as place of residence and gender of respondents. Following the research conducted, we state that given a variety of variables, the majority of the respondents are convinced that, prospectively, electric and hybrid vehicles in all probability will be the prevailing types of vehicles occurring on the roads of the Czech Republic. However, it is also important to analyze the situation of the current access to energy resources for manufacturing of both kinds of vehicles and, above all, their utilization. Thus, the preferences of drivers are key issues, but it is also necessary to take into consideration the production capacity and investment profitability regarding the purchase of vehicles with modern types of propulsion system.