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3. Modelling the spread of infectious diseases in public transport systems under varying demand patterns and capacity constraintsLászló Hajdu, Jovan Pavlović, Miklós Ferenz Krész, András Bóta, 2025, original scientific article Abstract: Understanding the dynamics of passenger interactions and their epidemiological impact across public transportation systems is crucial for both service efficiency and public health. High passenger density and close physical proximity have been shown to accelerate the spread of infectious diseases. During the COVID-19 pandemic, many public transportation companies took measures to slow down and minimize the spread of the disease. One of these measures was introducing spacing and capacity constraints on public transit vehicles. Our objective is to explore the effects of changes in demand and transportation measures from an epidemiological point of view, offering alternative measures to public transportation companies to keep the system operational while minimizing the epidemiological risk as much as possible. Our findings show that restricting vehicle capacity can significantly reduce the spread of infections, while demand-related measures have an even stronger effect. Combining these approaches offers the best solutions for balancing public health and operability.
Keywords: agent based modelling, infectious diseases, network analysis
Published in RUP: 27.08.2025; Views: 547; Downloads: 3
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4. An assignment model for scheduling vehicles with refuelingViktor Árgilán, János Balogh, Jozsef Bekesi, Balázs Dávid, Gábor Galambos, Miklós Ferenz Krész, Attila Tóth, 2025, original scientific article Abstract: The vehicle scheduling problem consists of scheduling a fleet of vehicles to cover a set of tasks at a minimum cost. The tasks are given in predetermined time intervals, and the vehicles are supplied by different depots. There are several known mathematical models that can be used to solve this problem, resulting in a valid vehicle schedule. One such approach is the multi-commodity network flow model, where the optimal schedule is computed by solving a linear integer programming problem. The main disadvantage of this model is that it can be intractable for practical scenarios that include additional vehicle constraints. These are specific restrictions that come from real-world applications, such as the refueling requirement of vehicles. When vehicles of different fuel types, including environmentally friendly ones, are considered, decisions about their refueling include many additional constraints that a valid assignment must meet. This paper presents how these vehicle-specific tasks can be included in the vehicle assignment phase. An IP-based heuristic solution is given for this specific variant of the vehicle assignment with multiple depots. Computational results on real-life and randomly generated test instances are presented where the vehicle assignment model uses an input schedule generated by the time-space network approach. The resulting integer programming problem for this assignment can be solved extremely quickly, even with a large number of variables. Computational results demonstrate that the model can effectively extend the capabilities of the standard models to be able to handle the assignment with vehicle-specific task requirements.
Keywords: vehicle scheduling, vehicle assignment, refueling constraints, fuel types, IP based solution
Published in RUP: 25.07.2025; Views: 939; Downloads: 2
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5. Scheduling truck arrivals for efficient container flow management in port logisticsDaniil Baldouski, Miklós Ferenz Krész, Balázs Dávid, 2025, original scientific article Abstract: The management of truck arrivals at container terminals is crucial for efficient port operations. Congestions developing both outside and inside the gates can cause logistical problems, while also having a significant impact on the environment and the surroundings of the port. Therefore, optimizing truck queues outside the gates of the port, as well as routing of trucks inside the terminals can lead to an improve- ment in the overall efficiency of the port processes. This paper presents a mixed- integer linear programming formulation to determine these optimal truck routes and schedules. The model considers a port with an external parking lot, multiple gates, internal roadways, and docks. A rolling horizon heuristic is also developed for the solution of instances where the model is otherwise intractable. The developed meth- ods are evaluated on instances simulated based on real-world data.
Keywords: scheduling, port logistics, container flow optimization, simulation, mixed-integer linear programming
Published in RUP: 04.07.2025; Views: 1011; Downloads: 5
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9. Growth of xerophilic fungi on model paint samples on glass and wooden supports under low humidity conditionsJanez Kosel, Jakub Michal Sandak, Anna Malgorzata Sandak, Lea Legan, Klara Retko, Maša Kavčič, Črtomir Tavzes, Miklós Ferenz Krész, Polonca Ropret, 2021, published scientific conference contribution abstract Keywords: Aspergillus, Penicillium, xerophilic fungi, pigments
Published in RUP: 24.06.2021; Views: 2598; Downloads: 70
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10. Social mechanisms to engage visitors in cultural heritage monuments preservationAna Slavec, Vesna Starman, Nežka Sajinčič, Gertrud Fábián, László Hajdu, Miklós Ferenz Krész, Anna Malgorzata Sandak, Jakub Michal Sandak, Črtomir Tavzes, 2021, published scientific conference contribution abstract Keywords: cultural heritage, focus groups, gamification, ICT, tourism
Published in RUP: 24.06.2021; Views: 2578; Downloads: 65
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