Communications - Scientific Letters of the University of Zilina - Latest articles

Results 1 to 30 of 97:

Errata: Communications - Scientific letters of the University of Zilina, 2026, 28(1), p. C1-C9, https://doi.org/10.26552/com.C.2026.012, Enhancing the Transport Safety through Disdrometer-Based Environmental SensingErratum

Matúš Nečas, Tomáš Ranuša, Dušan Maga, Gabriel Gašpar

Communications - Scientific Letters of the University of Zilina 2026, 28(3):1 | DOI: 10.26552/com.C.2026.032  

Errata: Communications - Scientific letters of the University of Zilina, 2026, 28(1), p. C1-C9, https://doi.org/10.26552/com.C.2026.012, Enhancing the Transport Safety through Disdrometer-Based Environmental Sensing

Spatio-Temporal Redistribution of Traffic Flows during Sequential Blocking of Channels at a Signalized Intersection: A Probabilistic Approach (Case Study of Augustusplatz, Leipzig)Civil Engineering in Transport

Dmitry Ganzheev, Anatoliy Falendysh, Pavol Šťastniak, Olha Kletska, Kristína Kozáková, Kateryna Kravchenko

Communications - Scientific Letters of the University of Zilina 2026, 28(3):D58-D69 | DOI: 10.26552/com.C.2026.044  

The spatiotemporal redistribution of traffic flows under alternating blocking of channels at a signalized four-leg intersection is investigated using the case of Augustusplatz in Leipzig, Germany. Observations were conducted over three days, with flows recorded in 48 half-hour intervals per day across four directions and four categories of vehicles. For stochastic modelling, the negative binomial distribution, Taylor’s dispersion index (VMR), Shannon entropy, and an approximation based on M/G/1 queueing theory were applied. A mathematically grounded framework for the real-time network control is proposed, highlighting the necessity of adaptive...

The Test-Based Evaluation of the Diagnostic Accuracy of Brake Systems in Passenger CarsMechanical Engineering in Transport

Vasyl Ravlyuk, Juraj Gerlici, Alona Lovska, Yaroslav Derevianchuk

Communications - Scientific Letters of the University of Zilina 2026, 28(3):B127-B136 | DOI: 10.26552/com.C.2026.042  

In this article is dealt with the ways of improving the diagnostic accuracy of braking systems of passenger cars, taking into account the operational factors. A diagnostic system that monitors the pneumatic processes and transmits the data in real time has been implemented. The method proposed has provided an increase of reliability from 83.1% to 87.6%.

Optimization of Passenger Flow on the Airport ApronManagement Science and Informatics in Transport

David Mičulka, Dušan Teichmann, Marek Kvet

Communications - Scientific Letters of the University of Zilina 2026, 28(3):E70-E81 | DOI: 10.26552/com.C.2026.041  

In this article is addressed the optimization problem of assigning aircraft to parking stands on the apron of international regional airports. The goal was to position an aircraft on the airport apron in a way that complies with operational, capacity, and safety constraints while optimizing the value of the selected optimization criterion. In contrast to other commonly published approaches, problem considered here focuses on minimizing passenger transport between the parking stands and the terminal via airport buses. To solve this problem, a linear integer programming model is formulated and solved using the Xpress-IVE optimization software. The model’s...

Adaptive Traffic Signal Control for Enhanced Safety and Efficiency at Road Intersections near RailwayElectrical Engineering in Transport

Aleš Janota, Dávid Macko, Vojtech Šimák, Aldona Kuśmińska-Fijałkowska, Zbigniew Łukasik

Communications - Scientific Letters of the University of Zilina 2026, 28(3):C56-C66 | DOI: 10.26552/com.C.2026.040  

In this study is proposed and evaluated an adaptive traffic signal control system designed to synchronize the road and railway signaling, minimize collision risks, and improve traffic flow. Results show that adaptive control reduced average queue length for over 46%, cut vehicle delay for 34%, lowered stop frequency for 74%, and decreased CO₂ emissions for nearly 46% compared to static control. Further analysis examined the effect of varying the distance between intersections and railway crossings, revealing significant safety and efficiency gains when the separation exceeded 80 m. The findings demonstrate that intelligent, sensor...

Innovation Management Strategies in Transport Systems: Creativity and Management PracticesManagement Science and Informatics in Transport

Tahir Taghiyev, Nataliia Hurzhyi, Taras Mukha, Mykyta Artemchuk, Olena Volska

Communications - Scientific Letters of the University of Zilina 2026, 28(3):E57-E69 | DOI: 10.26552/com.C.2026.037  

Digital transformation driven by AI and IoT is reshaping transport systems and challenging traditional management frameworks. In this study is evaluated the effectiveness of innovation strategies through a system of composite indices. Using the secondary data from the European Commission JRC, Eurostat and Precedence Research, the economic modelling is applied - including a multilevel CAGR decomposition with logarithmic representation - to examine growth rates and structural coefficients. The Smart Transport sector (CAGR 15.3%) grows three times faster than the traditional ITS market (5.1%) and is projected to reach €219.98 billion by 2028. Recommendations...

Circular Analysis of Gnss Positioning Error for Short-Term Rapidly Developing Ionospheric Storm Sub-ClassificationOperation and Economics in Transport

Lucija Žužić, Ivan Heđi, Jonatan Lerga, Renato Filjar

Communications - Scientific Letters of the University of Zilina 2026, 28(3):A73-A82 | DOI: 10.26552/com.C.2026.043  

In the development of Global Navigation Satellite System (GNSS) Positioning, Navigation, and Timing (PNT), short-lived, fast-growing ionospheric storms (lasting up to three days) were assumed to constitute a single, uniform class of space weather events. To challenge this premise, here is presented a circular analysis of single-frequency commercial-grade Global Positioning System (GPS) horizontal positioning errors in the mid-latitude region during four observed storms (one in 2015 and three in 2017), revealing significant heterogeneity. Maximum positioning errors reached 7.495 m in March 2015, but peaked at 4.261 m, 4.387 m, and 3.948 m during storms...

Optuna-Optimized Machine Learning for Traffic Accident Severity Prediction in Jordan under Class Imbalance ConditionsOperation and Economics in Transport

Maen Qaseem Ghadi

Communications - Scientific Letters of the University of Zilina 2026, 28(3):A61-A72 | DOI: 10.26552/com.C.2026.039  

A machine learning framework for predicting the traffic accident severity under class imbalance conditions is predented in Amman, Jordan. The methodology began with a preprocessing pipeline consisting of IQR-based (Interquartile range) outlier removal, label encoding, feature scaling, and Synthetic Minority Over-sampling Technique (SMOTE). Sixteen model configurations were considered, comprising four ensemble learning algorithms (XGBoost, LightGBM, Random Forest, CatBoost) under oversampling, with Optuna-based Bayesian hyperparameter optimisation. The result indicated that the class balancing using SMOTE had a greater influence on the predictive...

Identifying Features of Determining Strength of Container When Transported by SeaMechanical Engineering in Transport

Alyona Lovska, Juraj Gerlici, Ján Dižo, Pavlo Rukavishnykov

Communications - Scientific Letters of the University of Zilina 2026, 28(3):B110-B118 | DOI: 10.26552/com.C.2026.034  

The presented research is aimed at assessment of issues relating to strength of a universal container of the standard size of 1CC while it is transported on the sea by a railway ferry. Further it is considered that the container is located on a flat wagon at which, it is fixed to the upper deck of a railway ferry. Three load scenarios were considered in the research. Each of these scenarios are characterized by loaded conditions defined in the study. The structure of the investigated container was modelled in a commercial simulation software. The dynamic loads acting to the container structure for all three considered schemes, were carried out using...

Construction of Optimal Transition Curves on Railways Based on CurvatureMechanical Engineering in Transport

Ahmad Imanov, Isa Khalilov

Communications - Scientific Letters of the University of Zilina 2026, 28(3):B119-B126 | DOI: 10.26552/com.C.2026.038  

Parametric transition curves designed to guarantee a smooth transition from tangent (straight) tracks to circular segments in the horizontal-plane projection of a railway track alignment. A rigorous theoretical framework was developed to express the functional dependence of curvature, deflection angle, and Cartesian coordinates on the curve's arc length. To validate the theoretical derivations, a detailed computational experiment was performed, fully confirming their correctness and accuracy. Furthermore, a methodology for constructing coordinate tables as a function of arc length - highly valuable for practical railway design and field layout - is...

Determination of Vibrations Transmissibility Characteristics of Air Suspension System for Vehicle Ride Comfort and Safety AssessmentMechanical Engineering in Transport

Ryszard Dindorf, Jakub Takosoglu

Communications - Scientific Letters of the University of Zilina 2026, 28(3):B98-B109 | DOI: 10.26552/com.C.2026.035  

The purpose of this study was to determine the vibrations transmissibility characteristics of an air suspension system (ASS) with self-damping air bellows to assess the comfort and safety of the ride. The conceptual design of a pneumatic self-damping air bellow is presented, which involves forced airflow through a damping orifice between the air bellow and an auxiliary reservoir. Two dynamic models, classical and simple, of the analyzed air bellow were used for numerical modelling solutions. Vibrations transmissibility charts as a function of the frequency ratio and at different damping ratios were determined using the accepted excitation forces. The...

Detection of Transportation Network Elements Critical to Emergency Service SystemsManagement Science and Informatics in Transport

Peter Czimmermann, Zuzana Borčinová

Communications - Scientific Letters of the University of Zilina 2026, 28(3):E42-E47 | DOI: 10.26552/com.C.2026.031  

A study of the vulnerability of emergency service systems leads to the problem of detecting elements (vertices and edges) of transportation networks that are critical to the functionality of these systems. In this paper, methods for identifying the most critical edges and vertices in networks with respect to emergency service systems are presented, and these methods were tested on real data. The primary results of this work are the development and testing of two algorithms that compute a measure referred to as change in transportation performance for edges and vertices in the network. A method for identifying the edges and vertices that are the most...

A Socio-Technical Approach to Digitalization of Industrial and Transport and Logistics CompaniesManagement Science and Informatics in Transport

Marat Idrissov, Aliya Izbairova, Thomas Stahlecker, Gulmira Mukhanova, Botagoz Kuanyshbayeva

Communications - Scientific Letters of the University of Zilina 2026, 28(3):E48-E56 | DOI: 10.26552/com.C.2026.036  

The paper is a contribution to the literature on digitalization barriers and digital readiness by offering an empirically grounded socio-technical interpretation of digital transformation constraints in a transition economy and by extending the discussion on the shift from Industry 4.0 to Industry 5.0. The purpose of the research was to develop a theoretical and methodological framework for the study of digitalization of industrial, transport and logistics enterprises based on a socio-technical approach. The work systematizes the limitations of digital transformation in the context of the evolution of industrial paradigms from Industry 4.0 to...

Digital Transformation and Artificial Intelligence: New Opportunities for Economic Growth in the Logistics IndustryManagement Science and Informatics in Transport

Nelli Akylbekova, Bin Zhang, Congcong Liu, Yujie Liu, Yi Zhuo

Communications - Scientific Letters of the University of Zilina 2026, 28(3):E32-E41 | DOI: 10.26552/com.C.2026.030  

To remain competitive, authorities had to apply artificial intelligence, especially in logistics. This study’s aim was to examine how the digital transformation and artificial intelligence create new opportunities for economic growth in the logistics industry, with a particular focus on Kyrgyzstan. Implementation remains low. Policies aim to develop the sector but are insufficient for international competitiveness. The AI can address logistical challenges, optimize routes, improve management, and reduce costs. The key issues - low digitalization, shortage of specialists, and weak infrastructure - can be mitigated through sound policies. The results...

Integrating Ui Greenmetric and Walkability Standards: A Factor Analysis of Pedestrian-Friendly Sidewalk Design in a Tropical Campus EnvironmentCivil Engineering in Transport

Faisal Ashar, Fitra Rifwan, Laras Oktavia Andreas, Fithriyah Patriotika, Utari Sriwijaya Minaka, Nadra Mutiara Sari, Annisa Prita Melinda

Communications - Scientific Letters of the University of Zilina 2026, 28(3):D48-D57 | DOI: 10.26552/com.C.2026.033  

Background - The decline in walking interest on campus is an unresolved issue. Through this study, factors that influence walking intention by integrating the Walkability Index and UI GreenMetric standards are identified. Methodology -The measuring instrument for data collection in the form of a questionnaire was distributed to 110 respondents at Padang State University. The data were analyzed using Exploratory Factor Analysis (EFA) and PCA with Varimax Rotation. Results - As a result, 5 factors were identified with their eigenvalues for pedestrian-friendly sidewalk design, namely: comfort (6.867), technical suitability (2.200), accessibility (1.662),...

Integrating Resilience Indicators into Virtual Operations Support Team for Road Critical Infrastructure in Crisis ManagementSafety and Security Engineering in Transport

Ondřej Ryška, Patricie Gamonová

Communications - Scientific Letters of the University of Zilina 2026, 28(2):F18-F30 | DOI: 10.26552/com.C.2026.029  

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...

External Monitoring System for Battery Condition and State of Health of Lithium-Ion BatteriesElectrical Engineering in Transport

Milan Havelka, Matúš Nečas, Dušan Maga, Juraj Duďák

Communications - Scientific Letters of the University of Zilina 2026, 28(2):C47-C56 | DOI: 10.26552/com.C.2026.028  

Lithium-ion batteries power light electric vehicles such as electric bicycles, but end users typically lack reliable information about true battery health and instead rely on misleading indicators of remaining charge. In this paper is introduced a novel external plug-and-play diagnostic module that connects between the standard charger and a battery of a light electric vehicle. The system uses a precise discrete-time energy integration method during standard charging. It captures dynamic current fluctuations and estimates battery health from the partial charging data. Experimental validation on multiple battery packs demonstrates that the proposed...

Development and Research of Working Parts of Joint Cutting Machines with Cycloidal MotionMechanical Engineering in Transport

Yerbol Kaliyev, Turly Dyussengaliyeva, Beibitbek Zhunisbekov, Manarbek Yessengaliyev, Nurbol Kamzanov, Zhuldyz Dainova, Rustem Kozbagarov

Communications - Scientific Letters of the University of Zilina 2026, 28(2):B89-B98 | DOI: 10.26552/com.C.2026.027  

The development of a country's economy largely depends on the pace and efficiency of construction work, which, in turn, is determined by the extent to which innovative technologies and techniques are used. This work is devoted to justification of the basic parameters and the development of a new working body for a machine for cutting joints in road surfaces. A design with cycloidal motion is proposed, which intensifies the destruction process due to the vibrational impact of the cutters on the material being processed. The use of such a working body provides a vibrational effect, increases the cutting speed, and reduces the energy consumption of the...

The Strength Assessment of the Horizontal Lever in the Brake Transmission of a Freight Wagon BogieMechanical Engineering in Transport

Juraj Gerlici, Alyona Lovska, Vasyl Ravlyuk, Patrik Slušňák

Communications - Scientific Letters of the University of Zilina 2026, 28(2):B82-B88 | DOI: 10.26552/com.C.2026.026  

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.

Development and Research of Special Excavator Buckets for Mining Oil-Bituminous RocksMechanical Engineering in Transport

Yerbol Kaliyev, Shynbolat Tynybekov, Rashida Duisen, Abish Torgayev, Nurbol Kamzanov, Kazyna Ashim, Rustem Kozbagarov

Communications - Scientific Letters of the University of Zilina 2026, 28(2):B73-B81 | DOI: 10.26552/com.C.2026.025  

Given the shortage of petroleum bitumen in the Republic of Kazakhstan, the use of local bitumen-containing rocks is becoming increasingly relevant, which requires the development of specialized mechanization tools. In this paper are discussed the special excavator buckets designed for year-round extraction of rocks with a bitumen content of up to 25%. The design features of the bucket that reduce resistance during digging and unloading are described. Calculations of resistance, chip thickness, operation duration, and productivity of the EO-4121 excavator at different temperatures and bitumen contents were performed. It is shown that unloading becomes...

Design and Permanent Magnets Reduction of Linear Oscillatory Machine for Reciprocating Drives in TransportElectrical Engineering in Transport

Matúš Horník, Pavol Rafajdus, Hao Chen, Yassen Gorbounov, Gojko Joksimović

Communications - Scientific Letters of the University of Zilina 2026, 28(2):C35-C46 | DOI: 10.26552/com.C.2026.024  

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...

Economic and Infrastructure Determinants of Road Traffic Fatalities: Panel Evidence from the Visegrad CountriesOperation and Economics in Transport

Adela Poliaková, Eva Nedeliaková, Piotr Gorzelańczyk, Jakub Malik

Communications - Scientific Letters of the University of Zilina 2026, 28(2):A32-A47 | DOI: 10.26552/com.C.2026.023  

In this study are analysed the determinants of road traffic fatalities in the Visegrad Group countries during 2000-2024, using a balanced panel and fixed-effects models with Driscoll-Kraay standard errors. The results show that the higher motorization and a longer high-standard road network are associated with lower fatalities. By contrast, the GDP per capita and unemployment increase fatalities in the baseline model, although these effects are sensitive to alternative specifications. Public expenditure on road infrastructure has no robust immediate effect, with only limited evidence of delayed benefits. Overall, the findings suggest that the road...

Preparation of Big Data Sets for Optimization of Intercity Freight Driver SchedulesOperation and Economics in Transport

Olexandr Melnychenko, Myroslav Oliskevych, Nazar Khomyn

Communications - Scientific Letters of the University of Zilina 2026, 28(2):A48-A61 | DOI: 10.26552/com.C.2026.022  

The problem of using big data for optimal planning of work and rest of truck drivers in intercity freight transportation is considered. The problem is solved for a team of drivers in compliance with the EU regulation 561/2006. The proposed data preparation can reduce the practical computational complexity and find the optimal driver work schedule. The clustering of the initial data was substantiated for optimizing schedules based on the criterion of compatibility of transport orders. The compatibility of orders follows from the analysis of similarity of two consecutive transportation processes performed by one driver during his/her work shift. Simulation...

Blockchain-Enabled Privacy-Preserving Federated Learning with Deep Capsule Networks for Energy-Efficient Speed Control in Autonomous VehiclesMechanical Engineering in Transport

Sanjith N, M. Nithya, Sreeju P Sreedharan

Communications - Scientific Letters of the University of Zilina 2026, 28(2):B62-B72 | DOI: 10.26552/com.C.2026.021  

Rough roads negatively affect the ride quality and energy efficiency of autonomous vehicles (AVs) and demand adaptive speed control. To solve this, this research proposes a Deep Capsule Network integrated with Sparse Kernel K-means Clustering (DCapsNet + SK-K-means) to accurately reconstruct pavement conditions and adapt vehicle speed in real time. The Privacy-Preserving Federated Learning (PPFL) with Hyperledger Fabric blockchain allows federated learning to be trained in a secure and decentralized manner without the transfer of raw sensor data. With the BDD100K dataset, supervised and reinforcement learning are used. According to the obtained results...

Maritime Freight Cost Shocks and SME Financial Performance in the Visegrad Region during and after COVID-19Operation and Economics in Transport

Aleksandar Alačkov, Michal Červinka

Communications - Scientific Letters of the University of Zilina 2026, 28(2):A19-A31 | DOI: 10.26552/com.C.2026.020  

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...

Development of a Factor Analysis Model for Assessing the Technical Readiness of the Railway Rolling StockMechanical Engineering in Transport

Razim Bayramov, Ilham Huseynov, Israil Elyazov, Shamil Heydarov

Communications - Scientific Letters of the University of Zilina 2026, 28(2):B52-B61 | DOI: 10.26552/com.C.2026.019  

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...

Assessment of Vehicular Passenger Occupancy and Its Effect on LOSCivil Engineering in Transport

Rashmi Ranjan Samal, Kundan Samal, Sitansu Kumar Das, Satya Ranjan Samal, Malaya Mohanty

Communications - Scientific Letters of the University of Zilina 2026, 28(2):D39-D48 | DOI: 10.26552/com.C.2026.018  

The expansion of infrastructure in developing countries have led to a surge in car ownership. Although cars offer greater safety, their less passenger occupancy has contributed to reduced level of service (LOS). The present study was aimed to investigate the effect of passenger occupancy of various modes of transport on LOS. Detailed on-field surveys, including video recordings and questionnaires have been used to collect data, which is subsequently analyzed. The study findings suggest that a huge improvement in LOS and congestion can be achieved if public transportation is used more. Even usage of 3Ws and 2Ws can reduce congestion compared to usage...

Enhanced Harris Hawk Multi-Objective Optimization Algorithm for Cognitive Radio-Vehicular Ad Hoc NetworksManagement Science and Informatics in Transport

Md. Asif Hossain

Communications - Scientific Letters of the University of Zilina 2026, 28(2):E21-E32 | DOI: 10.26552/com.C.2026.017  

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...

Optimizing Combustion Process: The Impact of Flame Zone Air Supply on Emissions and Performance in Pellet BoilerMechanical Engineering in Transport

Alexander Backa, Nikola Čajová Kantová, Peter Hrabovský, Pavol Belány, Róbert Cibula, Sławomir Sładek

Communications - Scientific Letters of the University of Zilina 2026, 28(2):B43-B51 | DOI: 10.26552/com.C.2026.016  

Biomass combustion is a widely used renewable option for a small-scale heat and power, but incomplete burnout and pollutant formation remain challenges in boilers without optimized air staging. In this study, is investigated how controlled transport of air into the flame zone, implemented with an auxiliary tertiary system, affects performance and emissions in a bottom-fed pellet boiler. Tests were performed at constant fuel feed and primary/secondary airflow, with tertiary air varied between 0 and 15.8 m3/h. An airflow of about 8.9 m3/h proved optimal, giving the highest thermal output, a more uniform temperature distribution, and a nearly twentyfold...

Functional Safety-Oriented Risk Analysis of Heavy Vehicle PlatooningSafety and Security Engineering in Transport

Luboš Mikula, Jan Famfulík

Communications - Scientific Letters of the University of Zilina 2026, 28(2):F10-F17 | DOI: 10.26552/com.C.2026.015  

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)...