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1.
Are commercial vehicle operators ready for implementing tachographs into light commercial vehicles?
Pija Soršak, Ernest Rajh, Tina Cvahte Ojsteršek, 2025, published scientific conference contribution

Abstract: As of July 2026, a provision from Regulation (EU) 2020/1054 will come into force for all operators of light commercial vehicles (LCVs) between 2.5 and 3.5 tonnes performing international transport or cabotage. The installation of tachographs will become mandatory for these vehicles, and drivers will follow the rules governing mobile workers. The purpose is to improve road safety and working conditions for drivers within the European Union and the AETR framework. Additionally, due to the increasing number of registered LCVs, the provision aims to ensure fairer working conditions among competing companies. The objective of this study was to gain insight into the awareness among Slovenian transport companies regarding the upcoming changes, their preparedness, and the applicability of mobile worker rules to LCV operators. The study also aimed to identify the key factors influencing compliance with the new regulations. We received 231 responses from Slovenian transport companies, with 132 representing companies operating LCVs. Descriptive and inferential statistical methods were applied to analyze the data. Based on ANOVA, it was found that most operators are not prepared for the changes and have not yet begun preparing. Correlation analysis revealed that among companies that previously were not required to install tachographs, awareness of the change was much lower. Larger companies using LCVs were shown to be much better positioned for the transition to the new regulations and are unlikely to feel pressured by the upcoming changes. For the successful implementation of these changes, authorities should enhance communication with transport companies to allow a longer preparation period ahead of regulatory enforcement.
Keywords: light commercial vehicle, regulatory compliance, tachograph, freight operator preparedness, regulation (EU) 2020/1054
Published in DKUM: 09.01.2026; Views: 0; Downloads: 0
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2.
Digital Transformation in Logistics and Supply Chain Management
2026, proceedings

Abstract: The higher education textbook *"Digital Transformation in Logistics and Supply Chain Management"* is a comprehensive guide aimed at supporting digitization and digital approaches in logistics. It focuses on process digitalization, the use of tools far digital data processing and simulations, autonomous vehicles, machine learning in logistics processes, and cybersecurity. This interdisciplinary approach combines knowledge from various fields-computer science, information technology, mechatronics, machine learning, simulation methods, and business decision-making, providing a thorough understanding of digital logistics challenges and the application of practical knowledge to areas beyond logistics and supply chains. Readers are equipped with practical knowledge and skills to improve the efficiency and transparency of individual processes. The textbook covers topics such as: 1) Process Digitization - Planning; 2) Process Digitization - Execution; 3) Business lnformation Systems; 4) Simulations and Digital Twins; 5) Autonomous Vehicles in Logistics; and 6) lnformation Security. The entire content is focused on strengthening digital competencies essential for effectively managing modem logistics companies and building resilient supply chains.
Keywords: autonomous vehicle, digitalization, interdisciplinary knowledge, digital logistics, green and digital transition, cyber security
Published in DKUM: 05.01.2026; Views: 0; Downloads: 1
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3.
Geographical information system modeling for planning internal transportation in a manufacturing plant’s outdoor area
Klemen Prah, Brigita Gajšek, 2024, original scientific article

Abstract: A geographical information system (GIS) is an advanced tool for collecting, managing, and analyzing spatially-referenced data. The contribution of GIS use to process performance indicators can be improved by combining it with multi-criteria decision analysis (MCDA). Combining a GIS and MCDA is, in the scientific literature, rarely discussed for planning an internal transportation system in a manufacturing plant’s outdoor area. The purpose of this article is to clarify what mangers can expect from using a combined approach when deciding on a transport fleet and the operational routing of vehicles. Beside the simulation of MCDA, the computer software ArcGIS Pro 3.0.2 with the Network Analyst extension was used for modelling the transportation system in the form of a case study. The article demonstrates the feasibility and effectiveness of GIS and MCDA use and reveals the extent of the challenge of how decision makers could make the most of ArcGIS functionality. The final solution for an internal transportation system in a manufacturing plant’s outdoor area includes such a vehicle fleet and the set time windows of orders for transport services, so that there are no violations of time windows and the work is completed within the work shift while minimizing costs, time, and distance. Decision makers can use the program without advanced knowledge of optimization approaches, following a procedure that does not differ much from that of learning to use other business software tools. On the contrary, the listed disadvantages can be summarized as the rigidity of setting detailed boundary conditions for a specific simulation scenario.
Keywords: geographical information system, internal outdoor area transport, decision support system, vehicle fleet, planning
Published in DKUM: 18.07.2025; Views: 0; Downloads: 6
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4.
Designing efficient algorithms for logistics management : optimizing timeconstrained vehicle routing
Karlo Bala, Martin Fale, Nebojša Gvozdenović, Tomaž Kramberger, Dejan Brcanov, 2025, original scientific article

Abstract: Background: City logistics is a critical component of urban economic development, as it optimizes supply chains, enhances customer satisfaction through reliable deliveries, and minimizes environmental impacts in densely populated areas. This field addresses various challenges, including traffic congestion, environmental concerns, noise pollution, and the crucial need for timely deliveries. Routing and scheduling are central to logistics operations, with modern software integrating time windows to meet precise scheduling demands driven by detailed customer requirements and operational efficiencies. Furthermore, advanced vehicle routing models now effectively simulate real-world factors such as traffic congestion, stochastic travel times, and dynamic product demands. Purpose: This paper aims to develop an algorithm that addresses the routing decisions. Our approach extends to the time dimension, considering travel times and customer service times within predefined time windows. Study design/methodology/approach: The proposed algorithm is structured to execute in iterative phases, aiming to optimize key logistical objectives. In order to generate competitive solutions, we seek to minimize the number of vehicles utilized and overall travel costs. The evaluation of solution space was conducted via Simulated Annealing. Findings/conclusions: The performance of the proposed algorithm, evaluated using the Gehring and Homberger benchmark instances for 200 customers, demonstrates its effectiveness. The algorithm successfully meets the target number of vehicles required, and the associated travel costs are on average within 1% of the best solutions reported in the relevant literature. Limitations/future research: Given the ongoing need for timely solutions from decision-makers, future research endeavors will focus on enhancing the computational efficiency of the algorithm. Additionally, incorporating more time-related features, such as stochastic travel times, could further improve the algorithm's real-time applicability.
Keywords: city logistics, vehicle routing, simulated annealing, time windows, scheduling
Published in DKUM: 27.03.2025; Views: 0; Downloads: 3
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5.
Crash testing program in hyper-electrical vehicles : magistrsko delo
Filip Mehmetović, 2025, master's thesis

Abstract: The main goal of the master's thesis is to present system solutions (HW or SW) in electric hyper-vehicles for the purpose of preparing crash tests on such vehicles. The aim is to showcase the system as a whole and to identify deviations and changes that would need to be made for a high-quality test preparation.
Keywords: Crash Simulation, High-Voltage Safety, Pyrofuse Activation, Vehicle Integration, Diagnostic Systems
Published in DKUM: 27.02.2025; Views: 0; Downloads: 16
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6.
System design of a vehicle based on the matrix approach using functional analysis of the maintenance
Dušan Mežnar, 2021, original scientific article

Abstract: The use of extended standard functional analysis of maintenance in the design phase of vehicle structure analysis is presented for the first time, where a matrix of the degree of importance of modules or parts, a matrix size between costs and benefits (costs–benefits), and a logistic support matrix (support index and repair time) are used. The use of these methods allows a designer to be able to determine, in the very early phase of the construction process, the important factors (structure, component price, reliability, repair costs, response time, logistic supportability) that have a major impact on vehicle maintenance. Extended functional analysis also allows us to define critical structures in the project specification of vehicles. A crucial issue in functional analysis is the very extensive implementation of research, drawing conclusions and findings with the basic goal of determining a set of indicators for the verification of assumptions and hypotheses.
Keywords: maintenance, functional analysis, maintenance, vehicle design, structure design
Published in DKUM: 30.09.2024; Views: 0; Downloads: 8
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7.
Environmental attitude of drivers in Alimosho local government area, Lagos, Nigeria
Chinenye Lilian Okafor, Onipede Wusu, 2021, original scientific article

Abstract: This study examined the environmental attitude of drivers towards vehicle emission. The survey design that employed a five point Likert scale questionnaire and administered to 402 respondents (drivers) generated the data analysed. Data analysis involved descriptive and regression statistical tools. The results suggest that there was significant association between respondents’ sex, occupation, education and their environmental attitudes. A greater percentage (87. 3%) of the respondents was slightly more likely to agree that emissions from cars and trucks have serious impact on air quality. Majority (57.5%) of the respondents who were civil servants appeared to possess positive (favourable) attitudes towards the influence of emissions on the environment. Logistic regression suggest that respondents’ sex, occupation, education and vehicle’s purpose, income, age and social group significantly predicted their environmental attitudes. The study concludes that most of the sample possessed positive (favourable) environmental attitude towards vehicle emissions. This suggests that the environmental attitude of drivers towards emissions is not responsible for poor air quality. The policy implications of the findings include the need for the adoption of the polluter-pay-principle to reduce the volume of vehicles on our road, the necessity of promoting mass public transportation (such as the BRT and LAGBUS) as a way of reducing vehicle emission. Finally, sensitization program through social groups and schools is imperative.
Keywords: air quality, environmental attitude, drivers, vehicle emissions
Published in DKUM: 23.08.2024; Views: 56; Downloads: 10
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8.
Vehicles leasing operations in Lagos state, Nigeria
Muse Olayiwola Solanke, Bashiru Adisa Raji, Taiwo Kareem Alli, 2019, original scientific article

Abstract: Vehicle is an important element of transport; and its financing especially in road transport comes in 3 ways; outright purchase, hire purchase and lease. Of all these three methods of road transport financing, leasing has attracted little attention in Nigeria transport research. This study was carried out to examine the development, types and form, operating characteristics and problems of vehicle lease in Lagos State, Nigeria. Aggregate number of vehicle leasing companies in Nigeria from inception to 2018 was obtained from corporate affairs commission (CAC). Four prominent vehicle leasing companies: Cashlink Leasing Plc (CLP), NIKKY Taurus Ltd (NTL), C & I Leasing (CIL) and SAMTL Leasing Ltd (SLL) were purposively selected for the operating characteristics and challenges of the leasing companies. 298 structured questionnaires were administered to the staffs of the selected companies seeking the types and forms of lease and challenges encountered in the course of operation using stratified and simple random samplings techniques. Vehicle leasing started in Nigeria from 1986 with the likes of pine hill leasing, Cashlink leasing, VT leasing in Lagos. Within 1986 and 2018, it has spread to 23 different urban cities and the number has increased to 297 companies in 2018. Operating and finance leases exist in the industry with majority of 91.6% of the companies practice operating lease. The staff strength and fleet size level of the leasing companies varies overtime but positively significant to their operations. However, poor pricing of lease service, inadequate finance of vehicle, default in payment of rental charges and high cost of maintenance minimize leasing service efficiency and effectiveness. It is recommended that government should provide subvention for vehicles acquisition, face-off of racketing vehicles from cites and legislate policy to regulate operational activities (entry and exit) of the companies.
Keywords: leasing companies, Nigeria, operating characteristics, vehicle leasing
Published in DKUM: 22.08.2024; Views: 52; Downloads: 8
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9.
A multi-objective solution of green vehicle routing problem
Özgür Kabadurmuş, Mehmet Serdar Erdoğan, Yiğitcan Özkan, Mertcan Köseoğlu, 2019, original scientific article

Abstract: Distribution is one of the major sources of carbon emissions and this issue has been addressed by Green Vehicle Routing Problem (GVRP). This problem aims to fulfill the demand of a set of customers using a homogeneous fleet of Alternative Fuel Vehicles (AFV) originating from a single depot. The problem also includes a set of Alternative Fuel Stations (AFS) that can serve the AFVs. Since AFVs started to operate very recently, Alternative Fuel Stations servicing them are very few. Therefore, the driving span of the AFVs is very limited. This makes the routing decisions of AFVs more difficult. In this study, we formulated a multi-objective optimization model of Green Vehicle Routing Problem with two conflicting objective functions. While the first objective of our GVRP formulation aims to minimize total CO2 emission, which is proportional to the distance, the second aims to minimize the maximum traveling time of all routes. To solve this multi-objective problem, we used �-constraint method, a multi-objective optimization technique, and found the Pareto optimal solutions. The problem is formulated as a Mixed-Integer Linear Programming (MILP) model in IBM OPL CPLEX. To test our proposed method, we generated two hypothetical but realistic distribution cases in Izmir, Turkey. The first case study focuses on an inner-city distribution in Izmir, and the second case study involves a regional distribution in the Aegean Region of Turkey. We presented the Pareto optimal solutions and showed that there is a tradeoff between the maximum distribution time and carbon emissions. The results showed that routes become shorter, the number of generated routes (and therefore, vehicles) increases and vehicles visit a lower number of fuel stations as the maximum traveling time decreases. We also showed that as maximum traveling time decreases, the solution time significantly decreases.
Keywords: green vehicle routing problem, alternative fuel vehicles, epsilon-constraint, multi-objective optimization, Pareto optimality
Published in DKUM: 22.08.2024; Views: 44; Downloads: 11
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10.
Comparison of emissions depending on the type of vehicle engine
Vladimír Rievaj, Ján Gaňa, František Synák, 2019, original scientific article

Abstract: Road transport is showing growth in the period of globalization. Its task is to transport cargo as well as people to the required location within the shortest possible time and at the lowest price. Thus, road transport plays a crucial role in enabling the globalization to be developed and improved. However, the internal combustion engine hat prevail among the vehicles of freight and passenger transport are the producers of gaseous emissions from the exhaust gases. Many developed countries of the world has committed themselves, inter alia also trough the Paris Agreement, to reduce global warming, and thus to reduce the production of harmful gaseous emissions. The result is the endeavour to replace the internal combustion engine vehicles that burn carbon fuels with the vehicles powered by electric motors consuming electric energy. The reason of such trying claims that road transport using the internal combustion engine vehicles is environmentally aggressive, and the problem would not be solved by implementation of the vehicles with electric motors. Such claim is based on the fact that an electric car does not produce any of primary emissions. From an overall perspective, it is also necessary to take into account secondary emissions that are produced during the electric energy production by which is the vehicle with electric motor powered. The purpose of this article is to assume the possibility of reducing global pollution by replacing the internal combustion engine vehicles with the vehicles powered by electric motors in dependence with producing the emissions during the production of electric energy.
Keywords: electric energy, emissions, electric vehicle, internal combustion engine, global pollution
Published in DKUM: 22.08.2024; Views: 43; Downloads: 8
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