This paper examines the advantages and disadvantages of cable cars in public transport within urban areas. The advantages of cable car transport compared to other modes of transport are its quiet operation with an environmentally-acceptable electric drive and the possibility of transporting passengers above the ground, which can provide additional transport dimensions within urban centers. However, cable cars have some disadvantages, especially their smaller capacities in relation to other modes of transport within the urban environment. Today's built cable cars have capacities up to 2,000 persons/h for aerial tramways (or jig-back ropeways) and up to 4,000 persons/h for gondolas. Solutions are introduced in this paper as to how the current cable car technologies can increase the capacities of these devices. This can be achieved by concentrating on the vehicles (cabins) on gondola lines and by using multiple platforms at starting stations and final stations. It also provides a solution for intermediate stations, at which vehicles can be stopped independent of other vehicles on the line.

Airport runways are exposed to large traffic loads and other external factors which cause their transformation. Monitoring the state of the unevenness and determining the runway defectiveness is a complex procedure which includes fast and qualitative measurements of the execution of flatness, their evaluation and the determination of the level of runway defectiveness. For this purpose, an improved process of determining airport runway defectiveness is proposed, based on geodetic survey and the management information system prototype, which enables evaluating the results of the executed survey and suggesting the runway maintenance measures. A similar analysis of the considered data on the example of a smaller, regional airport in Maribor, Slovenia, was performed with the help of our own algorithm, which, on various platforms, enables the tabular and graphical display of surface irregularities. The algorithm prototype allows the automated monitoring and evaluating of the unevenness or runway states, determining their defectiveness and advising adequate action. With the help of the suggested method and developed information system prototypes, it is possible to confirm the demand for professionally adequate and on-time planning of necessary maintenance works, with which it is surely possible to prevent an eventual unexpected closing of the runway and related costs. The suggested method is also usable in evaluating the state of other traffic infrastructure.

Runways are exposed to significant burdens and other external factors that cause their deformation. Monitoring runway deformities and determining the resulting damage is a complicated procedure which requires a rapid and accurate assessment of these deformities and evaluation of the damage they cause. In this study, an optimized process to determine this damage based on geodetic measurements was developed. A novelty of our research is a prototype model for the maintenance of smaller airport runways with an emphasis on damage detection. The model is also intended for sustainable development, as it is open source in which we can enter various data. A model and algorithm that enables tabulation and graphical display of surface anomalies were developed for the detailed analysis of the collected data. This model allows monitoring of runway deformities to determine the resulting damage, thus facilitating timely planning of necessary maintenance. As a result, unexpected runway closures and related high costs can be prevented. In this study, we also compared the obtained results with those obtained using the open-source program Quantum GIS (QGIS) to confirm the accuracy and applicability of the algorithm.

The transportation of dangerous goods (TDG) is a critical component of economic systems, especially in regions such as the Western Balkans (WB), where infrastructure and regulatory frameworks face significant challenges. This study assesses the current state of transportation of dangerous goods in Albania, Montenegro, Bosnia and Herzegovina, and Kosovo*, focusing on the alignment of national regulations with international standards such as the ADR agreement. Using a structured questionnaire distributed to 847 stakeholders, key barriers are identified, including inadequate infrastructure, insufficient training, limited oversight and low public awareness. Statistical analyses, including paired t-tests, reveal significant differences in perceptions across the countries surveyed, indicating inequalities in implementation and enforcement. Despite these challenges, there are opportunities to close gaps through targeted investments in infrastructure, increased training programs, stricter compliance and regional cooperation. The findings underscore the need for comprehensive data collection systems and advanced risk assessment tools to improve safety and efficiency. This study contributes to a deeper understanding of TDG issues in the WB countries and provides actionable recommendations for policy makers and practitioners to promote safer and more sustainable practices. The region can improve its TDG framework by addressing these challenges and ensuring economic growth and public safety while minimizing environmental risks.

The introduction of contemporary procedures to fleet managementprocesses has recently changed the work planning andsupervision of driver's work activities. Tendencies to control theimplementation of driver's work have been present in modemprofessional practice for quite a long time; however, the equipmentavailable on the market limited its implementation. Theintensified development of digital tachographs has, in technicalterms, ensured such equipment considerably before the legislativegroundwork was prepared for its practical implementation.The Commission Regulation (EC) No. 561!2006 (implementationof Social legislation relating to Road Transport) does notbring any essential novelties in terms of permitted workload.Consistent monitoring of drivers activities, made possible bydigital tachographs, will have impact on the existing workingmethods. The topic of the present paper is in deep analysis ofthe impact of the mentioned regulation with special emphasison the conditions for the regulation of the current stage of driverswork and on the expected consequences. The essential imp011ancelies on the expected change in the mentality and approachto planning the driver's activities in the transport processon the part of the ea n·ier: the outcome will eventually resultin the efficiency of each individual canier.

The main purpose of this study was to investigate the use of various chaotic pattern recognition methods for traffic flow prediction. Traffic flow is a variable, dynamic and complex system, which is non-linear and unpredictable. The emergence of traffic flow congestion in road traffic is estimated when the traffic load on a specific section of the road in a specific time period is close to exceeding the capacity of the road infrastructure. Under certain conditions, it can be seen in concentrating chaotic traffic flow patterns. The literature review of traffic flow theory and its connection with chaotic features implies that this kind of method has great theoretical and practical value. Researched methods of identifying chaos in traffic flow have shown certain restrictions in their techniques but have suggested guidelines for improving the identification of chaotic parameters in traffic flow. The proposed new method of forecasting congestion in traffic flow uses Wigner-Ville frequency distribution. This method enables the display of a chaotic attractor without the use of reconstruction phase space.