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Optimal design of the emergency service systems mostly consists in the decisions on a deployment of service centers, which provide the nearest system users with the associated service. As the demand for emergency service occurs randomly, the nearest service center may be occupied by servicing some previous demand and thus the current demand must be serviced from some more distant available service center. This phenomenon is dealt with in this paper where the center capacity is considered in the service system design to mitigate frequency of the above-mentioned events. For this purpose, two approaches to the capacitated service center deployment were suggested, implemented and tested on several benchmarks to give a relevant comparison of them.

In many applications, where rotating machines of high power are used, high demands on reliability and safety are laid. Precise manufacturing procedures has to be kept even in case of machines retrofits when e.g. rotors are newly assembled. Even small inaccuracies or misguiding the precise technological procedure can lead to improper running of the machine and it can result in shut-down of complete drive. In case of primary circuits of nuclear power plants, it further means the shut-down of the whole power plant. Consequently, it results in significant financial losses (foregone profit and cost given by problem fixing). The paper presents a methodology of vibration origin investigation in case of large rotating machines which are part of drives like pump, compressors etc. The methodology is based on the detection of undesirable vibration using a diagnostic system on-site and further it uses mathematical modelling of corresponding mechanical parts to reveal the vibration origin. The modelling along with the measurement showed that the detected dangerous vibration is caused by misguided assembling of the rotor of the machine.

In this paper is analysed how the maritime freight costs fluctuations (2020-2024) affected the small and medium sized enterprises (SMEs) across the Visegrad Group using firm-level panel data and fixed-effects regressions. Four financial indicators were examined: turnover, gross margin, inventory stock, and cost of goods sold (COGS), with the Shanghai containerized freight index (SCFI) as the key explanatory variable. Higher freight costs are associated with increased turnover, inventories, and COGS, and with reduced gross margins, though the within-firm explanatory power is low. Overall, shipping price shocks leave measurable but modest effects on SME finances, indicating partial cost pass-through and strong resilience. Supporting supply-chain adaptability and digital logistics tools may further reinforce this resilience.

The purpose of the article was to present the results of braking equipment testing and determination of the adequacy of compressed air production of the braking system when the train is loaded. Experimental tests of the braking system of TE33A diesel locomotive in a goods train are performed. According to the initial data the main parameters of the braking system in the empty and loaded train were evaluated. As a result of tests, and according to the calculated data, the dependences of the volume of the main reservoirs, and the dependences of the required compressor capacity, on the number of axles have been obtained. It has been established that the braking system operation in release modes for a 400-axle train corresponds to the operating conditions and the main requirements of the normative documents.

In this paper is presented a cloud-based framework for automated acquisition and visualization of Orbiting Carbon Observatory-2 (OCO-2) satellite CO₂ data. The system employs an ETL pipeline with OPeNDAP protocol for selective data retrieval, reducing network overhead while processing L2 Standard and L2 Lite FP products. Built on Amazon Web Services (AWS) infrastructure, using Python (Pandas, Dash, Plotly) and Docker orchestration, the modular architecture implements dependency injection for runtime flexibility. The deployed system achieves daily automated ingestion with 2.25 km × 1.29 km spatial resolution, enabling the real-time monitoring through interactive web visualization. The system is designed as a foundation for future analytical research, providing ready integration points for machine learning models to perform advanced CO₂ pattern recognition and predictive analysis.

The paper is focused on assessment of the transport services in small towns. Current legislation in the Slovak Republic, however, does not clearly determine which cities must provide the urban public transport (UPT). Analysis of the current state of the UPT evaluated 71 district towns of the SR and it was found out that 21 towns did not provide operation of the UPT. Another criterion for evaluation was the number of inhabitants of the city over 10,000 in Slovakia and selected regions of the Czech Republic and Poland. The paper presents results of a research conducted in the area of a transport operation, along with a proposal for the content of the methodology, based on a multi-criterial analysis to assess the need to introduce the UPT. The EU research results, regarding dependency of a GDP size and transport performances in UPT in selected EU states, Switzerland and Norway, are presented, as well.

The first aid is an important tool to save people's lives after traffic accidents. Drivers are the most-likely bystanders, who might help injured people at the traffic accident site. The current research aims to explore Czech learner drivers' knowledge and attitudes towards the first aid and to evaluate whether the first aid education increases the likelihood that a driver will provide the first aid for injuries resulting from traffic accidents. A questionnaire survey was conducted in 2015 among a sample of 370 Czech learner drivers at driving schools. The two groups of student drivers were compared - those who had attended the first aid classes (FAC) and those who had not. The learner drivers who had attended an FAC are more likely to know how to treat burns and serious injuries, contain external bleeding, and unblock the respiratory track. Those who had not attended an FAC would more often hesitate to provide the first aid because they resisted taking a leadership role to organize the scene, or they did not have suitable equipment. This supports the idea that increasing the quality of the first aid training for Czech student drivers would improve the traffic safety in the Czech Republic.

In this study is presented a system for real-time precipitation measurement integrating the laser disdrometer with adaptive control. The system manages large sensor data streams dynamically, enhancing robustness and accuracy under intense weather conditions. Meteorological inputs, combined with communication, enable scalable infrastructure supporting automated safety interventions. Experimental deployment showed improved data fidelity, anomaly detection, and detailed analysis of drop size and velocity distributions. The approach advances intelligent transportation safety and operational reliability through comprehensive environmental sensing and real-time adaptive data processing.

E-rickshaws, as emerging transport modes, notably affect mixed traffic flow on urban roadways. To evaluate their influence relative to other vehicle types, this study aim was to determine the Passenger Car Unit (PCU) value for e-rickshaws, as the Indian Roads Congress has yet to assign one. Three analytical methods were used: Chandra’s method, the homogeneous coefficient method, and multiple linear regression. Data were gathered via three-hour video recordings at three different locations, each in Hapur and Sonipat. Using VLC media player, vehicle speeds and counts were extracted for analysis. The data were then processed in SPSS and Excel to derive equivalency values and assess influencing factors. Results indicate that the e-rickshaw’s PCU value increases with rising traffic speed, but decreases with higher e-rickshaw concentration. Additionally, when the traffic volume increases, but composition remains unchanged, the PCU value for e-rickshaws shows a declining trend. These findings can help to refine the traffic flow modelling in heterogeneous conditions.

Cities are often characterised by the presence of universities and by a greater number of students, often commuters, with an average age of less than 30 years. The study focused on the city of Enna (Italy), where the university students represent a significant percentage of residents and also a good rate of local travel demand. The survey campaign was conducted over a period of more than one year. A bivariate statistical method was applied highlighting significant variables regarding several features of a car sharing system. Additionally, non-parametric statistics and a before and after analysis were performed to evaluate the influence of implementation of the shared transport service. The results can also offer insights into the improvement of transport supply in urban context and the possible implementation of the co-creation actions between the companies managing the service with the end-users.

Changes in road construction are affected by the owner and contractor at the beginning, middle, or end of the project. This study aims to determine the ranking of the factors that cause change orders for road construction from the owner's point of view. Data was collected by distributing questionnaires and interviews to project owners. Reliability and validity tests involving 32 respondents resulted in 48 causes of change orders. This study quantifies the relative importance of the factors that cause change orders and shows the ranking of factors and groups that cause change orders according to their level of importance for causes of change orders. This goal is achieved through the analysis of the results of the interviews. According to the calculation of the Relative Importance Index (RII), all the factors and groups are ranked and the most significant ranking is determined regarding the causes of the change orders.

The number of cars on Polish roads is increasing year by year. Currently, Poland is in second place in Europe in terms of the number of cars per 1000 inhabitants [1]. This causes problems in finding a place to park. In addition, during the pandemic, there was a problem with semis, which caused a sharp increase in the price of used cars and longer waiting times for new vehicles. The aim of this article is to find out the opinion of Polish residents on the Car-Sharing service during the COVID-19 pandemic and how the pandemic has affected Car-Sharing not only in Poland, but also in Europe as a whole. For this purpose, a survey was conducted.

The effect of fog levels on drivers' free-flow speeds for various vehicles in mixed traffic conditions is examined in this research. Visibility and free-flow speeds from eight highways are simultaneously collected and analyzed. The findings show distinct driver behavior patterns under different fog conditions. In dense fog, small visibility improvements lead to linear speed increases, while in light fog, speeds are mostly unchanged, though drivers maintain higher speeds than in clear conditions. Regardless of a vehicle type, driving patterns in fog are similar, though specific speeds differ. Cars tend to drive dangerously fast, while trucks remain slower due to limited manoeuvrability. This study offers insights for operational strategies in dense fog, supporting the use of dynamic warning systems and variable speed limits to reduce unsafe speed variations and potential crashes in low visibility.

Road markings are essential traffic control devices that guide drivers, particularly at night and under adverse weather conditions common in tropical regions. In this study is investigated the performance of thermoplastic road markings enhanced with phosphorescent phosphorus using rosin ester as a binder. Laboratory experiments with varying phosphorus concentrations were conducted to evaluate luminance, retroreflectivity, and skid resistance under dry and wet conditions. The results show that a 30% phosphorus content provides the best overall performance by improving the nighttime visibility and retroreflective properties without compromising the skid resistance. All measured parameters comply with the Indonesian SKh-1.M-03 road marking standard. The proposed material demonstrates strong potential to enhance the road marking visibility and driving safety in tropical environments.

In this article are highlighted the results of the research on braking malfunctions of passenger rolling stock identified during the car maintenance. Based on the collected statistical material, the key factors that cause braking malfunctions in operation are highlighted. The main brake equipment units that account for the largest number of malfunctions in operation are determined. The data on the malfunctions of air distributors used in passenger rolling stock was systematized using the STATISTIKA software package. To ensure continuous monitoring and timely detection of defects in the brake system of passenger trains, it is critical to use modern diagnostic tools to predict the technical malfunctions of pneumatic and electropneumatic brake system units of passenger cars. Moreover, this would ensure compliance with the requirements for overhaul periods for passenger cars in accordance with the current standards and technical documents and would guarantee the traffic safety on Ukrainian railways.

Electric vehicles (EVs) require efficient compressors for air-conditioning and battery thermal management, typically driven by a dedicated electric motor. In this paper is dealt with the design and optimization of a stator-magnet transverse-flux linear oscillatory machine (SMTLOM) intended for such compressor applications. The topology employs permanent magnets embedded in the stator, enabling simplified assembly, improved vibration robustness, and reduced dependence on rare-earth materials. A detailed 3D finite element analysis was conducted to maximize the performance, while minimizing the volume of permanent magnets. The results demonstrate the feasibility of SMTLOM for EV compressor drives and highlight the trade-offs between force capability, efficiency, and magnet usage.

In this paper is presented platooning as a promising approach to reduce the greenhouse gas emissions, fuel consumption, and operation costs in heavy traffic. Attention is given to a risk assessment of vehicle-to-vehicle (V2V) communication in the context of ISO 26262, Edition 2: Road vehicles - Functional safety. [ISO 26262-2 2018] The analysis focuses on safety-related hazards associated with convoy driving of heavy vehicles, utilizing the principles of functional safety. It applies hazard analysis and risk assessment (HARA) to classify potential risks according to their severity, exposure, and controllability. Automotive safety integrity level (ASIL) is later determined for each risk. The results provide the ASIL levels of identified hazards, which can be used for developing and validating functional safety measures for cooperative truck driving.

With aging populations and rising healthcare demands, efficient patient transportation has become a critical challenge, particularly in the context of infection control. In this paper is presented an extended mixed-integer linear programming (MILP) model for optimizing patient transport in urban environments, with a focus on the separate transportation of infectious and non-infectious individuals. The model incorporates time windows, maximum allowable ride durations, and mandatory vehicle disinfection requirements. Experimental results obtained using CPLEX demonstrate that incorporating infection control measures significantly influences both route planning and computational complexity. The proposed approach provides a scalable foundation for future multi-vehicle extensions and cost-based optimization strategies.

In this article are discussed the features of selecting the geometric parameters and calculating the strength of the horizontal lever in the brake lever transmission of a freight wagon bogie. The results of the research show that the greatest stresses are concentrated in the areas where the holes for the rollers are located. Since the design stresses are 22% lower than the permissible value, thus the strength of the horizontal lever is obeyed. This research results could be useful in the design of modern brake lever transmission systems.

The article deals with the problem of estimating criteria of the road traffic quality used in domestic (Belarus) and foreign research works. Each separate property of the road traffic, as well as their entire set - the so-called "quality", can be assessed by means of losses - the smaller the loss is, the better the property and the higher the quality are. Evaluation using losses, which are expressed in money, is very convenient and clear, since it allows comparing contradictory properties of road traffic not only the each other, but the costs' expenses involved in their improving, as well. The value of the costs estimate of the time spent by a user in the process of travelling has not been officially established and is the subject of research. The proposed methodology makes it possible to assess, not only the quality of the road traffic in general, but its main components, as well, for example, traffic management or road conditions. It has been proved by methodology implementation findings on the streets in Minsk.

The achievements of the experience economy show that, when using services, not only their useful value is important, i.e., changing the location in the case of transport, but also related positive experiences and impressions are of increasingly great importance. Hence, the aim of the research was to assess and indicate the directions of application possibilities of the experience economy in the urban and regional transport. There were used methods of analysis of the current theoretical achievements of the experience economy and the social studies into the use of cars, as well as the methods of analogy, brainstorming, synthesis, and modelling. The personalization of services should be pursued, in the field of passenger information, travel planning, and tariff solutions, as well as solutions increasing the possibility of using the travel time for the professional matters, education, and entertainment.

In this article, the authors present a study on artificial intelligence (AI) integration in transportation and storage SMEs, focusing on research questions, literature reviews, hypotheses, sample selection, and data analysis. They explored current AI support and perceptions and plans of SMEs in this sector. The authors addressed the lack of literature on AI use in transport SMEs and investigated factors, such as AI adoption, benefits perception, company size correlation, and investment willingness. Data was collected from 163 SMEs in Serbia and Slovakia, revealing challenges in participant identification due to low AI use. Declining AI adoption rates authors attributed to financial, technological, regulatory, and awareness issues. The research aims to enhance the AI adoption in transportation and storage SMEs and give some directions for future work.

The research presented in this article is aimed to show the prospective direction of increasing the efficiency of cleaning dusty air flows from light impurities and dust on mobile grain separators by using a rotary cyclone with a multi-disc after cleaner. An increase in the efficiency of the process of cleaning the dusty air flow in dust collectors is provided by an additional effect on dispersed particles for their intensive redistribution in the working areas. The developed rotary cyclone has two working zones: the main zone and the post-cleaning zone. The rotary cyclone consists of a bladed impeller, a main cylindrical channel, a sedimentation chamber and an after-cleaner. The overall air flow purification coefficient of the rotary cyclone varies between 87.5 to 92.5 %.

In this paper is presented an Enhanced Harris Hawk Multi-Objective Optimization (EH-HHO) algorithm for joint spectrum allocation, interference mitigation, and energy efficiency optimization in Cognitive Radio–Vehicular Ad Hoc Networks (CR-VANETs). EH-HHO integrates adaptive exploration, dynamic switching, and crowding-distance preservation to avoid premature convergence and obtain well-distributed Pareto-optimal solutions. Extensive simulations, using the SUMO–OMNeT++, VEINS/ns-3, and hardware-in-the-loop experiments, show superior spectrum utilization, energy savings, and convergence speed compared to NSGA-II and MOPSO. Statistical validation confirms performance significance, highlighting the EH-HHO as an efficient non–deep learning framework for CR-VANET optimization.

A method for online dynamic routing of freight delivery under limited traffic information using an ant colony algorithm, has been proposed. This method leverages real-time IoT data on traffic flow (TF) intensity from traffic sensors on urban road network (URN) sections, combined with averaged historical data on TF parameters (speed, density, intensity) obtained from traffic sensors on representative sections of homogeneous clusters within the URN. The procedure for forming homogeneous clusters within the URN and identifying representative sections is described. The results of simulation studies using the URN of Kyiv as an example indicate the potential of this method for urban transport logistics in conditions of complex traffic.

The article highlights the results of the traffic safety analysis conducted in the wagon industry of Ukrainian Railways. Based on this study, it was found that the largest number of transport accidents are caused by the braking equipment of wagons. The study is based on the statistical data on malfunctions of the mechanical part of the brake equipment of bogies, in particular, those caused by the wear of wagon brake pads. The results obtained were arranged and processed in the data analysis and visualization program STATISTIKA.
Using a systemic approach, the structural, technological and operational factors that affect the reliability and efficiency of the brake system of bogies and the wagon safety were classified. The research could contribute to increase the efficiency of the railway transport operation and maintenance of its position in the spectrum of the transportation process.

In this study is presented an analytical mathematical model developed to determine the forces arising during the active penetration of machine working bodies into sticky rocks. The methodology is based on the method of element-by-element calculation of resistances, where the contact zone is divided into discrete prisms of material. As a result of the analysis, a final formula for the total penetration force is derived. This formula shows the dependence of the resistance force on the dimensions of the tool (thickness, depth, angle of sharpening) and the physical characteristics of the rock (internal friction, adhesion, stickiness). The model serves as a reliable engineering tool for the design and optimization of working bodies of earthmoving and mining equipment.

Increasing disaster frequency intensifies the need for rapid, location-specific information in crisis management. A Virtual Operations Support Team (VOST) can enhance situational awareness by verifying open-source data, but these outputs are rarely transformed into resilience indicators. In this paper is presented a framework that maps verified VOST outputs and metadata to indicators for road critical infrastructure resilience and links them to the crisis decision cycle. A preliminary test on media data (1 Aug-31 Dec 2024; n = 2,045) confirmed a stable baseline and clear peaks usable for management-defined thresholds and trigger actions. The framework also outlines governance, supplier interfaces, and GIS-based operationalization of Exposure, Condition, Accessibility, and Consequence.

In this study was investigated the Technical Readiness Coefficient (TRC) of railway rolling stock and associated technical systems. The primary objective was to identify and analyze the key factors influencing TRC and to develop a structured methodology for the factor analysis of railway technical readiness. The research methodology includes the selection of principal determinants, construction of a descriptive analytical model, processing of empirical operational data, and application of regression and correlation analyses. Empirical and theoretical approaches were employed, using statistical data, maintenance schedules, normative tables, and computational tools. Findings can be used for monitoring the TRC, optimizing maintenance and modernization, improving operational efficiency, and supporting evidence-based management decisions. The methodology also provides a framework for evaluating the future railway systems and ensuring continuous monitoring of technical performance under operational conditions.

The potential and challenges of Inland Waterway Transportation (IWT) in West Java, Indonesia were examined in this research, with a focus on sustainability using the SWOT and PESTLE analyses. Key findings show that IWT provides significant environmental benefits, such as reduced carbon emissions, and supports social equity through affordable and accessible transport. However, challenges include sedimentation, water hyacinth proliferation, poor waste management, infrastructure deficiencies and high investment costs. Overcoming these obstacles requires strategic planning that emphasises centralisation of governance, modernisation of infrastructure, environmental management and integration of technology. The findings provide applicable insights for policymakers and stakeholders to foster sustainable and inclusive transport in West Java.