1. Analiza tlaka v pnevmatikah vozil komunalnega podjetjaIris Goričan, 2025, undergraduate thesis Abstract: Tlak v pnevmatikah ima vpliv tako na varnost v cestnem prometu, kot tudi na okolje v katerem živimo. Slednje se kaže predvsem v obliki izpiranja težkih kovin in kemikalij v okolje, prav tako pa tudi pri povečani količini izpustov CO2. Zraven varnostnega in okoljskega vpliva pa se pojavlja še finančni vidik nepravilnega polnilnega tlaka pnevmatik, ki še posebej pri večjih podjetjih z obsežnejšo floto vozil predstavlja dodatne stroške. Ti nastanejo zaradi večjih poškodb pnevmatik, ki jih več ni mogoče obnoviti, prav tako pa vplivajo na varnost vseh udeležencev cestnega prometa. S tega razloga se na
trgu pojavlja vedno več podjetij, ki nudijo rešitve za enostavno in učinkovito spremljanje tlaka v pnevmatikah vozil. Javno podjetje Snaga d.o.o. je za spremljanje tlaka v pnevmatikah izbrala Continentalovo rešitev ContiConnect Yard, ki je primerna predvsem za vozila, ki se redno vračajo na izbrane kontrolne točke. V tem primeru se podatki odčitavajo s pomočjo dvoriščnega čitalnika. Z rednim spremljanjem podatkov lahko podjetje ukrepa, preden pride do okvar pnevmatik, s čimer se podaljša tudi njihova življenjska doba. Takšna rešitev lahko predstavlja tudi enega od ukrepov, ki pripomorejo k zmanjšanju stroškov voznega parka podjetja.
Keywords: Tlak, pnevmatike, tovorna vozila, poškodbe pnevmatik, previsok tlak, prenizek tlak
Published in DKUM: 09.10.2025; Views: 0; Downloads: 4
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2. Systematic review of transportation choice modelingMartin Fale, Yuhong Wang, Bojan Rupnik, Tomaž Kramberger, Tea Vizinger, 2025, review article Abstract: This research presents an overview of transportation mode choice, emphasizing key influencing factors and a range of methodological approaches from traditional Random Utility Theory (RUT) models to modern Machine Learning (ML) techniques. A comprehensive review covered 875 papers, which were screened for relevance. The search was conducted on ScienceDirect and Google Scholar between October and November 2024 using the keywords transport and choice model. Search results were reviewed until several consecutive entries no longer contained content relevant to the topic. After the screening and exclusion process, 106 papers remained for analysis. The review reveals that the Multinomial Logit (MNL) model remains the most widely used approach for modeling transportation mode choice, despite a growing interest in ML methods. Cars and buses dominate in passenger transport studies, while trucks, trains, and ships are most common in freight research. Data is typically collected through surveys (for passenger transport) and interviews (for freight), though some studies use secondary sources. Geographically, Asia and Europe are most represented, with regions like South America underrepresented. Travel time and cost are key variables, with increasing attention to the built environment in passenger studies and service reliability in freight studies. Overall, most studies aim to address real-world transport challenges. The review highlights the persistent gap between theoretical advancements and real-world applicability. To support this analysis, it examines the specific research objectives and findings of each study.
Keywords: transportation, choice modeling, random utility model, artificial intelligence, machine learning models
Published in DKUM: 28.08.2025; Views: 0; Downloads: 3
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3. Evaluating middle-distance passenger transportation : a comparison of the time efficiency, sustainability, and break-even distances between high-speed-rail and air travel in SwedenMartin Fale, Tomaž Kramberger, Bojan Rupnik, Shen Lixin, Tea Vizinger, 2025, original scientific article Abstract: Debate regarding the use of airplanes or high-speed trains in middle-distance passenger transportation has evolved into a strong field of research. With the aim to mitigate the environmental footprint of air travel, the European Union’s initiatives are focused on redirecting passengers from airplanes to high-speed trains. This shift is hampered by significant variations in train accessibility across Europe. Using Sweden as an example, we tested the break-even distance and evaluated the findings from both a time-efficiency perspective and a sustainability perspective. Airplanes hold the upper hand on high-speed trains in middle-distance passenger transportation from the time perspective. This perspective provides us with a clear answer, but if we consider the sustainability perspective, it may affect the results. The results indicate that the presented proof of concept makes sense and can be easily adapted to any decision-making process regarding the choice of the preferable transportation mode, although the procedure is extremely time consuming. For policymakers, this proof of concept can represent a priceless tool because the resulting figures carry valuable information about (under)developed and (less-)integrated transportation modes in commuting and transportation systems.
Keywords: time efficiency, sustainability, breakeven distance, high-speed-rail (HSR) travel, air travel
Published in DKUM: 01.07.2025; Views: 0; Downloads: 2
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4. Integrating carbon tax and subsidies : an evolutionary game theory-based shore power promotional strategy analysisTingwei Zhang, Cheng Hong, Tomaž Kramberger, Yuhong Wang, 2025, original scientific article Abstract: Shore power represents one of the principal solutions for the green transformation within the port industry. It significantly aids in the reduction in carbon emissions from vessels while they are berthed in port, yet often necessitates an effective promotional strategy to foster its installation and utilization. Stakeholders including port authorities, ship operators, and local governments all play a crucial role in achieving this objective. This paper employs a tripartite evolutionary game model in conjunction with a system dynamics model to investigate the evolutionary responses of stakeholders when policy tools are applied, and consequently, to elucidate the dynamics of strategy effectiveness. In this context, six business scenarios are developed to ascertain the potential impacts of implementing subsidies and carbon taxes. The findings demonstrate that any singular strategy, whether a subsidy or a carbon tax, is inadequate for the successful advancement of shore power; on the contrary, a government-led, integrated, and dynamic reward–punishment strategy aids in stabilizing the inherent fluctuations within this game process. Moreover, the initial willingness of ship operators exerts a considerably greater influence than that of the other two stakeholders.
Keywords: shore power, promotional strategies, reward–punishment, evolutionary game, system dynamics
Published in DKUM: 18.06.2025; Views: 0; Downloads: 1
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5. Optimizing berth allocation for maritime autonomous surface ships (MASSs) in the context of mixed operation scenariosShen Lixin, Xueting Shu, Chengcheng Li, Tomaž Kramberger, Xiaoguang Li, Lixing Jiang, 2025, original scientific article Abstract: This study deals with berth allocation for Maritime Autonomous Surface Ships (MASSs) in the context of the mixed operation of MASSs and manned vessels from the perspective of port-shipping companies’ collaboration. Two berth allocation strategies, namely the separated-type and the mixed-type, are proposed in this article. Two mixed integer nonlinear programming models aimed at minimizing the total docking cost of the vessels in the port and the waiting time for berths are developed and solved using Gurobi, respectively. A large-scale simulation of the mixed-type berth allocation model is carried out using an improved simulated annealing algorithm. Several experiments are conducted to test the effectiveness of the model and to draw insights for commercializing autonomous vessels. The presented results show that multi-objective modeling and optimization should be conducted from the collaboration of port-shipping companies, which is more efficient from the perspective of shipping companies or ports, respectively. When berth resources are limited or there is a high requirement for operational safety, the separated-type berth allocation strategy is more efficient. When the number of MASS-dedicated berths reaches a certain proportion, the total docking cost of the vessel no longer changes, indicating that more dedicated berths are not better.
Keywords: maritime autonomous surface ship (MASS), mixed operation scenarios, berth allocation, mixed integer programming, simulated annealing algorithm, port-shipping companies’ collaboration
Published in DKUM: 18.06.2025; Views: 0; Downloads: 1
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6. Hybrid model for motorway EV fast-charging demand analysis based on traffic volumeBojan Rupnik, Yuhong Wang, Tomaž Kramberger, 2025, original scientific article Abstract: The expected growth of electric vehicle (EV) usage will not only increase the energy demand but also bring the requirement to provide the necessary electrical infrastructure to handle the load. While charging infrastructure is becoming increasingly present in urban areas, special attention is required for transit traffic, not just for passengers but also for freight transport. Differences in the nature of battery charging compared to that of classical refueling require careful planning in order to provide a resilient electrical infrastructure that will supply enough energy at critical locations during peak hours. This paper presents a hybrid simulation model for analyzing fast-charging demand based on traffic flow, projected EV adoption, battery characteristics, and environmental conditions. The model integrates a probabilistic model for evaluating the charging requirements based on traffic flows with a discrete-event simulation (DES) framework to analyze charger utilization, waiting queues, and energy demand. The presented case of traffic flow on Slovenian motorways explored the expected power demands at various seasonal traffic intensities. The findings provide valuable insight for planning the charging infrastructure, the electrical grid, and also the layout by anticipating the number of vehicles seeking charging services. The modular design of the model allowed replacing key parameters with different traffic projections, supporting a robust scenario analysis and adaptive infrastructure planning. Replacing the parameters with real-time data opens the path for integration into a digital twin framework of individual EV charging hubs, providing the basis for development of an EV charging hub network digital twin.
Keywords: electric vehicles, EV charging, traffic flow, EV charging hub
Published in DKUM: 11.04.2025; Views: 0; Downloads: 2
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7. Designing efficient algorithms for logistics management : optimizing timeconstrained vehicle routingKarlo 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: 2
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8. Analiza skladiščenja kemikalij v podjetju F.A MAIK d. o. o. : diplomsko deloMiha Bezjak, 2024, undergraduate thesis Abstract: Skladiščenje kemikalij predstavlja izziv za izvajalce skladiščnih storitev. Zaradi nevarnosti, ki jo predstavljajo manipulacije s kemikalijami, so skladiščni procesi teh snovi podvrženi strogi zakonodaji, sprejeti z namenom minimizirati tveganje za nastanek izrednih dogodkov. V primeru nesreč namreč lahko pride do hudih negativnih posledic v neposredni okolici nesreče. Zato je pri skladiščenju kemikalij ključnega pomena zagotavljanje ustreznih varovalnih sistemov in upoštevanje predpisane zakonodaje ter navodil proizvajalca kemikalij. Skladiščenje le-teh mora biti zasnovano na način, ki omogoča dober pregled in nadzor nad shranjenimi kemikalijami. Poleg podatkov o shranjenih kemikalijah je potrebno te skladiščne enote opremiti s podatki o skladiščenju, kar omogoča določitev skladiščnega mesta znotraj skladišča. Pri tem se lahko opremo na sisteme upravljanja skladišč. Sistem SQAS omogoča ocenjevanje kakovosti, varnosti, zanesljivosti in okoljske učinkovitosti logističnih procesov kemikalij ter primerjavo stanja podjetja z evropskimi standardi, ABC analiza pa nam poda oceno o učinkovitosti skladiščenja izdelkov v skladišču. V diplomskem delu smo pregledali skladiščenje kemikalij v podjetju F.A. MAIK d. o. o., določili kritične točke v procesu skladiščenja kemikalij in podali predloge za odpravo kritičnih točk.
Keywords: skladiščenje, kemikalije, zakonodaja, ABC analiza, analiza SQAS
Published in DKUM: 13.03.2025; Views: 0; Downloads: 60
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9. Distributed energy resource operation analysis using discrete event-simulationBojan Rupnik, Dušan Kragelj, Simona Šinko, Tomaž Kramberger, 2020, original scientific article Abstract: This paper presents a discrete-event simulation (DES) approach for simulation of distributed energy resources (DER). The DES approach provides means to adapt the energy workloads of the system according to any variations of demands that can occur due to temperature regulation requirements or operational demands. Along with a basic model based on a concrete DER configuration, additional models are presented and analysed in order to demonstrate the adaptability of the DES approach to analyse alternative configurations. The models were tested on historical energy consumption data in order to provide the expected workloads and costs. Models are capable to predict the amount of three different energies and cost for the company based on the inside and outside temperatures.
Keywords: cost, discrete-event simulation, distributed energy resources, energy efficiency, hospitals, logistics
Published in DKUM: 10.03.2025; Views: 0; Downloads: 10
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10. Spatial modelling of the transport mode choice : application on the Vienna transport networkSimona Šinko, Bojan Rupnik, Klemen Prah, Tomaž Kramberger, 2021, original scientific article Abstract: A new approach for spatial modelling of transport mode choice is presented in the paper. The approach tackles the problem by considering the trade-off between subjective and objective factors. To obtain mode Preference Rates (PRs) based on subjective factors, the Analytic Hierarchy Process (AHP) method is applied. The objective factors are expressed with the journey time from any point in the map to destination according to the available transport mode choice on the specific connection. The results are presented as PRs of individual transport modes. The model is validated on the con-ducted the survey, with students of Vienna University of Economics and Business (WU) as a target audience. Members of different target groups (age, national, employment) decide differently regarding the transport choice, so it is better to analyse them separately. The presented model can be used for the city transport planning in any urban area. It can help promote the sustainable modes of transport in the areas that are less adjusted in sustainable manner.
Keywords: transport mode choice, passenger transport, spatial modelling, city transport planning, city mobility, urban logistics, ergonomics, AHP, decision-making policy, GIS, students, objective and subjective factors, transport management
Published in DKUM: 10.12.2024; Views: 0; Downloads: 18
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