1. Assessing behavioural changes in high-risk drivers through additional training for safe drivingDarja Topolšek, Tina Cvahte Ojsteršek, 2025, objavljeni znanstveni prispevek na konferenci Opis: This study evaluates the short-term effects of Slovenia’s Additional Training Programme for Safe Driving, aimed at drivers penalized with demerit points. Using a pre/post design, 103 participants completed the Driver Behaviour Questionnaire (DBQ) and additional self-assessment tools before and after programme participation. Results show limited statistically significant short-term improvements, as shown by changes in a limited number of DBQ items (3 out of 27). More significant changes were shown in recent self-reported safer driving behaviour (9 out of 17 items) and attitudes towards safe driving practices (5 out of 27 items). Mostly, the positive changes were seen in the field of reductions in conscious violations such as speeding and aggressive manoeuvres. These findings suggest the programme has a modest but measurable impact on short-term behavioural change. Further research is needed to also assess long-term effects and to strengthen programme design for broader impact.
Ključne besede: driver rehabilitation, traffic safety, behavioural intervention, high risk drivers
Objavljeno v DKUM: 12.01.2026; Ogledov: 0; Prenosov: 0
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2. Optimization of operations in bus company service workshops using queueing theorySergej Težak, Drago Sever, 2025, izvirni znanstveni članek Opis: Public transport companies are aware that the success of their operations largely depends on the proper sizing and optimization of their processes. Among the key activities are the maintenance and repair of the vehicle fleet. This paper presents the application of mathematical optimization methods from the field of operations research to improve the efficiency of service workshops for bus maintenance and repair. Based on an analysis of collected data using queueing theory, the authors assessed the current system performance and found that the queueing system still has spare capacity and could be downsized, which aligns with the company’s management goals. Specifically, the company plans to reduce the number of bus repair service stations (servers in a queueing system). The main question is whether the system will continue to function effectively after this reduction. Three specific downsizing solutions were proposed and evaluated using queueing theory methods: extending the daily operating hours of the workshops, reducing the number of arriving buses, and increasing the productivity of a service station (server). The results show that, under high system load, only those solutions that increase the productivity of individual service stations (servers) in the queueing system provide optimal outcomes. Other solutions merely result in longer queues and associated losses due to buses waiting for service, preventing them from performing their intended function and causing financial loss to the company.
Ključne besede: queueing theory, service workshops, buses, maintenance, traffic information transmission, public transport
Objavljeno v DKUM: 18.12.2025; Ogledov: 0; Prenosov: 2
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3. The impact of time delays in traffic information transmission using ITS and C-ITS systems: a case-study on a motorway section between two tunnelsIva Meglič, Matjaž Šraml, Ulrich Zorin, Chiara Gruden, 2025, izvirni znanstveni članek Opis: Timely and accurate traffic information is crucial for maintaining safety and efficiency on motorway networks. This research examines time delays in traffic information transmission through intelligent transport systems (ITSs) and cooperative intelligent transport systems (C-ITSs) on the Slovenian motorway network. The aim of the research is to assess the effectiveness of existing notification systems and the impact of time delays on the timely informing of drivers in the event of an accident in a tunnel. Using real-world data from Regional Traffic Center (RCC) in Vransko, manual and automated activations of traffic portals and different update frequencies of the Promet+ mobile application were analyzed during peak hours. Results show that automated activation reduces delays from 34 to 25 s at portals and from 27 to 18 s in the Promet+ app. Continuous updates in the app provided the highest driver coverage, leaving only 15 uninformed drivers in the morning peak and 8 in the afternoon, whereas 60 s update intervals left up to 71 drivers uninformed. These findings highlight the effectiveness of automation and continuous updates in minimizing delays and improving driver awareness. The research contributes by quantifying latency in ITSs and C-ITSs and demonstrating that their combined use offers the most reliable information delivery. Future improvements should focus on hybrid integration of ITS and C-ITS, dynamic update intervals, and infrastructure upgrades to ensure consistent real-time communication, shorter response times, and enhanced motorway safety.
Ključne besede: intelligent transport systems (ITS), cooperative intelligent transport systems (C-ITS), hybrid communication, traffic information transmission
Objavljeno v DKUM: 03.11.2025; Ogledov: 0; Prenosov: 15
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4. Inteligentni sistemi v železniškem prometu : Zapiski predavanj 1. delMitja Klemenčič, 2019, drugo učno gradivo Ključne besede: mobilnost, javni promet, železniški promet, inteligentni sistemi, sledenje vlakov, ERTMS, European Rail Traffic Management, učbeniki
Objavljeno v DKUM: 12.05.2025; Ogledov: 0; Prenosov: 9
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5. Hybrid model for motorway EV fast-charging demand analysis based on traffic volumeBojan Rupnik, Yuhong Wang, Tomaž Kramberger, 2025, izvirni znanstveni članek Opis: 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.
Ključne besede: electric vehicles, EV charging, traffic flow, EV charging hub
Objavljeno v DKUM: 11.04.2025; Ogledov: 0; Prenosov: 2
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6. How the volume of traffic affected air quality during the extreme event of COVID-19 lockdown in a small cityBranka Trček, Rok Kamnik, 2022, izvirni znanstveni članek Opis: The extreme traffic measures during the COVID-19 lockdown provided a unique opportunity to gain better insight into the relationship between traffic characteris-tics and NO2 concentrations in Maribor, a small Slove-nian city. NO2, traffic and meteorological data were sta-tistically processed in detail for March and April 2018, 2019 and 2020 to get a historical insight and to exclude the specifics of the lockdown period. The extreme event resulted in an average reduction of road traffic of 42%. The decrease in the number of passenger cars ranged from 33.9 to 60.3% per day with the largest decrease on the motorway. Daily averages of heavy goods traffic de-clined on the motorway and the expressway by 24.6% and 7%, respectively. Traffic characteristics were reflect-ed in a 24–27% decrease in NO2 concentrations at the urban station. The change is smaller than the change in traffic volume, which could be explained by the change in the composition of the vehicle fleet due to the increase in NO2-dominant traffic sources, e.g. diesel heavy goods vehicles. The presented results are relevant for improv-ing air quality and sustainable mobility management in small cities. They highlight the important role of reor-ganisation of heavy goods traffic in urban logistics.
Ključne besede: road traffic, extreme event, COVID-19 lockdown, NO2 emissions, meteorological conditions, air pollution
Objavljeno v DKUM: 13.03.2025; Ogledov: 0; Prenosov: 1
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7. Spatial modelling of modal shift due to COVID-19Simona Šinko, Klemen Prah, Tomaž Kramberger, 2021, izvirni znanstveni članek Opis: The outbreak of COVID-19 caused many changes in people's life. One of the most significant is the travel behaviour and transport mode choice. This study focus on the changes that the inhabitants of Vienna made in their travel choices because of the virus. The same research about spatial modelling the transport mode choice of commuters in Vienna was completed in 2019 and is a topic addressed in our previous work. Based on our developed methodology, this article indicates that public transport is not a dominant transport mode choice as it was before the virus outbreak.The main result of this paper is geographically defined areas of application of individual alternatives shown on the final map of modal shift in Vienna, which could provide theoretical support for policy-makers and transportation planners. For the city of Vienna, we found that the area of the city where cars are now used has increased, which certainly has a negative impact on air quality and life in the city. The advantage of the methodology is that it can also be applied to other cities in the world.
Ključne besede: coronavirus, city traffic, urban mobility, transport mode choice, passenger transport, geographical methods, spatial modelling, city logistics, Vienna
Objavljeno v DKUM: 14.10.2024; Ogledov: 0; Prenosov: 22
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8. Traffic density-related black carbon distribution : impact of wind in a basin townBorut Jereb, Brigita Gajšek, Gregor Šipek, Špela Kovše, Matevž Obrecht, 2021, izvirni znanstveni članek Opis: Black carbon is one of the riskiest particle matter pollutants that is harmful to human health. Although it has been increasingly investigated, factors that depend on black carbon distribution and concentration are still insufficiently researched. Variables, such as traffic density, wind speeds, and ground levels can lead to substantial variations of black carbon concentrations and potential exposure, which is even riskier for people living in less-airy sites. Therefore, this paper "fills the gaps" by studying black carbon distribution variations, concentrations, and oscillations, with special emphasis on traffic density and road segments, at multiple locations, in a small city located in a basin, with frequent temperature inversions and infrequent low wind speeds. As wind speed has a significant impact on black carbon concentration trends, it is critical to present how low wind speeds influence black carbon dispersion in a basin city, and how black carbon is dependent on traffic density. Our results revealed that when the wind reached speeds of 1 ms-1 , black carbon concentrations actually increased. In lengthy wind periods, when wind speeds reached 2 or 3 ms-1 , black carbon concentrations decreased during rush hour and in the time of severe winter biomass burning. By observing the results, it could be concluded that black carbon persists longer in higher altitudes than near ground level. Black carbon concentration oscillations were also seen as more pronounced on main roads with higher traffic density. The more the traffic decreases and becomes steady, the more black carbon concentrations oscillate.
Ključne besede: black carbon, black carbon concentration, traffic pollution, air pollution, wind, traffic density, logistics, basin city
Objavljeno v DKUM: 20.08.2024; Ogledov: 44; Prenosov: 10
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9. A spatial decision support system for traffic accident prevention in different weather conditionsDanijel Ivajnšič, David Pintarič, Jaša Veno Grujić, Igor Žiberna, 2021, izvirni znanstveni članek Opis: Natural conditions play an important role as determinants and cocreators of the spatiotemporal road traffic accident Hot Spot footprint; however, none of the modern commercial, or open-source, navigation systems currently provides it for the driver. Our findings, based on a spatiotemporal database recording 11 years of traffic accidents in Slovenia, proved that different weather conditions yield distinct spatial patterns of dangerous road segments. All potentially dangerous road segments were identified and incorporated into a mobile spatial decision support system (SLOCrashInfo), which raises awareness among drivers who are entering or leaving the predefined danger zones on the street network. It is expected that such systems could potentially increase road traffic safety in the future.
Ključne besede: GIS, mobile application, spatial databases, spatial patterns, traffic safety
Objavljeno v DKUM: 20.08.2024; Ogledov: 63; Prenosov: 12
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10. Revealing the spatial pattern of weather-related road traffic crashes in SloveniaDanijel Ivajnšič, Nina Zver, Igor Žiberna, Eva Konečnik Kotnik, Danijel Davidović, 2021, izvirni znanstveni članek Opis: Despite an improvement in worldwide numbers, road traffic crashes still cause social, psychological, and financial damage and cost most countries 3% of their gross domestic product. However, none of the current commercial or open-source navigation systems contain spatial information about road traffic crash hot spots. By developing an algorithm that can adequately predict such spatial patterns, we can bridge these still existing gaps in road traffic safety. To that end, geographically weighted regression and regression tree models were fitted with five uncorrelated (environmental and socioeconomic) road traffic crash predictor variables. Significant regional differences in adverse weather conditions were identified; Slovenia lies at the conjunction of different climatic zones characterized by differences in weather phenomena, which further modify traffic safety. Thus, more attention to speed limits, safety distance, and other vehicles entering and leaving the system could be expected. In order to further improve road safety and better implement globally sustainable development goals, studies with applicative solutions are urgently needed. Modern vehicle-to-vehicle communication technologies could soon support drivers with real-time traffic data and thus potentially prevent road network crashes.
Ključne besede: GIS, hot spot analyses, traffic safety, spatial modelling, weather patterns
Objavljeno v DKUM: 20.08.2024; Ogledov: 92; Prenosov: 9
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