In this paper, we analyse the specific behaviour of passengers in personal transport commuting to work or school during the COVID-19 pandemic, based on a sample of respondents from two countries. We classified the commuters based on a two-step cluster analysis into groups showing the same characteristics. Data were obtained from an online survey, and the total sample size consists of 2000 respondents. We used five input variables, dividing the total sample into five clusters using a two-step cluster analysis. We observed significant differences between gender, status, and car ownership when using public transport, cars, and other alternative means of transportation for commuting to work and school. We also examined differences between individual groups with the same socioeconomic and socio-demographic factors. In total, the respondents were classified into five clusters, and the results indicate that there are differences between gender and status. We found that ownership of a prepaid card for public transport and social status are the most important factors, as they reach a significance level of 100%, unlike compared to other factors with importance ranging from 60 to 80%. Moreover, the results demonstrate that prepaid cards are preferred mainly by female students. Understanding these factors can help in planning transport policy by knowing the habits of users.

Article deals with the possibility of practical application of Radio Frequency Identification (RFID) technology into operation of rail freight in relation to the important international projects that may impact on successful implementation of electronic data exchange in international freight transport. Implementation the new and more complex information systems and technologies in the field of rail freight should systematically eliminate these deficiencies and thus strategic insight not only increase the quality of information in transport, but also increase overall competitiveness in the field of rail freight. There are several technologies automatic data collecting and one of them is RFID technology. Compared with other technology the RFID technology offers a higher scanning speed and easier application in the automated systems. The implementation of RFID technology into practice will result in a simplification of technological activities both in border crossing stations, marshalling yards, but also in individual small intermediate station and railway sidings. It also finds application in the administration of consignment and delivery wagon load.

The situation of the COVID-19 pandemic has had enormous social and economic impacts and has significantly affected the modal split. Many cities worldwide have adopted various blocking policies that affect how people travel. Micromobility systems, such as scooters and bicycle sharing, were among the transport systems affected by COVID-19. Electric scooters and shared bicycles provide comfortable and fast first-/last-mile connections for short-distance rides. The shared nature of these modes, together with the spread COVID-19, has contributed to the declining use of these services. The quantification of the impact of COVID-19 on shared services was demonstrated by this research through various mathematical methods. Satisfaction with the use of alternative modes of transport during the pandemic was determined based on the evaluation of a questionnaire survey. Independence tests of qualitative features and statistically significant associations that were demonstrated with a correspondence analysis were used for comparison. The main conclusion of the research was to point out the reasons for the preference for alternative modes of transport and to highlight the impacts on health and fears of contracting COVID-19 when using micromobility services.

The issues that determine the capacity of railway infrastructure are topical in situations that are reaching operating limits. According to the objectives of the European transport policy, it is assumed that up to 30% of road freight over 300 km should shift to other modes such as rail or waterborne transport by 2030. The transport system should become more competitive and efficient in the use of resources. This places high demands on the railway infrastructure, which is mainly operated in a mixed transport mode, with both passengers and freight. It is necessary to increase the capacity of these lines as a priority. The intent of this paper is to propose procedures that will simply and accurately determine the quantification of benefits for increasing the throughput performance of the line. For the initial estimates and assessments of investment measures, it is advantageous to use analytical methods to determine the throughput performance. The methodological approach for determining the throughput performance in the anticipated timetable and case study were approximated on the example of the rail freight corridor marked “Amber” that passes through Slovakia. Analytical procedures have been proposed according to the methodology used on the railways of Slovakia, and the quality issues were assessed using a new approach for determining the optimal and critical throughput performance. The mentioned procedures are advantageous for assessing infrastructural measures from the point of view of a railway infrastructure manager.

This article investigates the utilization of eye-tracking methodology to monitor the driver’s activities and attention during the arrival and departure procedures of train operations on Slovak Railway (ŽSR) line no. 120, Bratislava–Žilina. Previous studies conducted in 2020 formed the basis of the current research, which focused on two train stations and two railway stops located on the Žilina–Púchov track section. The results of the experiment allowed for a greater understanding of the driver’s cognitive processes, thereby leading to increased safety and sustainability in the railway transport system. It is noteworthy that the employed measurement methodology and technology had no detrimental effect on train operation, or operational and thus passenger safety. Thus, the results of this experiment provide a sound foundation for further exploration into human–machine (driver–train) interaction in actual traffic conditions.