Drivers are met with numerous elements requiring their attention while driving. The present research focuses on selected visual and cognitive distractions that the driver is faced with, and on their influence on detecting and perceiving changes in the traffic environment. Driver self evaluation data was used to define which elements attract most visual and cognitive distraction. A constructed conceptual model was subjected to analysis using Exploratory factor analysis (EFA), Confirmatory factor analysis (CFA), and Structural Equation Modelling (SEM). Main findings show that thinking about personal problems, chores and errands as well as roadside advertisements on the cognitive side, and looking at advertisements and the natural environment on the visual side, present the most negative impacts on drivers' perception of crucial changes in the traffic environment. On the other hand, drivers that visually focus on traffic signals and pedestrians and think about driving speed, driving rules, and other traffic participants, tend to notice crucial changes in the traffic environment more often.

There are many concepts in the transport and logistics business: transport, logistics, transportation, forwarding, etc. There are also a number of different study programs and disciplines such as: transport economics, transport logistics, logistics management, etc. All of these titles are often related to the content of the plan, planning, organization, management and control of the movement of human, material, informational and financial flows. However, in practice, they are often correlated and misused. Therefore, it is an important task to properly define these concepts. This article, based on various scientific literature, deals with the concept of transport logistics in various disciplines and fields of research. The results of this analysis made it possible to identify that there is no unified logistic term. Therefore, a qualitative study was also used. The purpose of this study is to identify the concept of transport/logistics companies in the Baltic States as the concept is treated in business. The results of the research have shown that the concept of transport logistics is also understood differently. Therefore, the purpose of this article is to formulate the definition of transport logistics on the basis of the results of the scientific literature analysis and qualitative research.

Many factors affect road safety, but research constantly shows that drivers are the major cause of critical situations that could potentially lead to a traffic accident in road traffic. Visual information is a crucial part of input information into the driving process; therefore, distractions of overt visual attention can potentially have a large impact on driving safety. Modern eye tracking technology enables researchers to gain precise insight into the direction and movement of a driver’s gaze during various distractions. As this is an evolving and currently very relevant field of road safety research, the present paper sets out to analyse the current state of the research field and the most relevant publications that use eye tracking for research of distractions to a driver’s visual attention. With the use of scientometrics and a qualitative review of the 139 identified publications that fit the inclusion criteria, the results revealed a currently expanding research field. The narrow research field is interdisciplinary in its core, as evidenced by the dispersion of publication sources and research variables. The main research gaps identified were performing research in real conditions, including a wider array of distractions, a larger number of participants, and increasing interdisciplinarity of the field with more author cooperation outside of their primary co-authorship networks.

Even though autonomous cars have not yet crossed into the mainstream car market, their adoption seems inevitable, but not much is known about the purchasing intention of ACs and potential influences on it. To better understand the influences of various factors on purchasing intentions of autonomous cars, research using bibliometrics, an online survey and SEM modelling was performed. Based on an analysis of previous research work and the unified theory of acceptance of technology, an empirical model was produced and tested using data obtained from an online survey involving 266 individuals. The goal was to analyse which characteristics of autonomous cars, socio-demographic variables of potential buyers, and buyers’ personal and social characteristics could potentially influence the adoption of autonomous cars. The results show that factors of car safety, buyer age and level of education, perceived social influence, anxiety and performance expectancy are significantly correlated to purchasing intention of ACs, while correlations with other factors to purchasing intentions have not been proven.

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