I completed my PhD in transportation at Cracow University of Technology. During my studies, I participated in the EU project CityChangerCargoBike and conducted a research internship at TU Delft in the Netherlands.
My research interests encompass the modeling of transport systems, analyzing the environmental impact of transportation, and employing mathematical and computer methods in transport and logistics.
List of main publications and preprints
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SimFLEX: A methodology for comparative analysis of urban areas for implementing new on-demand feeder bus services
Vasiutina, Hanna,
Shulika, Olha,
Bujak, Michał,
Ghasemi, Farnoud,
and Kucharski, Rafał
Journal of Public Transportation
2025
On-demand feeder bus services present an innovative solution to urban mobility challenges, yet their success depends on a thorough assessment and strategic planning. Despite their potential, a systematic methodology for selecting suitable service areas remains underdeveloped. Simulation Framework for Feeder Location Evaluation (SimFLEX) utilizes spatial, demographic, and transportation-specific characteristics to conduct simulations at a microscopic level and compute various key performance indicators (KPIs), including service attractiveness, waiting time reduction, and added value. To address the stochastic nature of demand and uncertainty embedded in mode choice, we leverage Monte Carlo analysis, capturing variability across simulated scenarios. Our framework integrates several methods for a complete assessment of feeder potential: microscopic demand generation, creation of shared rides, public transport modeling, and iterative traveler learning and stabilization approach. Once the system stabilizes, KPIs are computed for comparative and sensitivity analyzes. As a showcase for our method, we apply SimFLEX to compare two remote districts in Krakow, Poland – Bronowice and Skotniki – designated as candidates for service deployment. Despite similar urban characteristics, our analysis revealed notable differences in KPIs between the analyzed areas: Skotniki exhibited higher service attractiveness (around 30 %) and added value (up to 7 %), whereas Bronowice showed greater potential for reducing waiting times (around 77 %). To assess the robustness of SimFLEX outputs under uncertain behavioral assumptions, we conducted a sensitivity analysis across a range of alternative-specific constants. The results consistently confirmed Skotniki as the more suitable candidate for feeder service implementation, demonstrating that this conclusion holds despite variations in a key preference parameter. The SimFLEX framework can be instrumental for decision makers to estimate feeder potential for a designated area. The model’s flexibility and modular characteristics make it a versatile tool for policymakers and urban planners to enhance urban mobility.
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Simulating a Macrosystem of Cargo Deliveries by Road Transport Based on Big Data Volumes: A Case Study of Poland
Naumov, Vitalii,
Szarata, Andrzej,
and Vasiutina, Hanna
Energies
2022
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Shaping the optimal technology for servicing the long-distance deliveries of packaged cargo by road transport
Naumov, Vitalii,
Shulika, Olha,
Orda, Oleksandra,
Vasiutina, Hanna,
Bauer, Marek,
and Oliskevych, Myroslav
Sustainability
2022
Simulation models of transport systems are a key tool for solving many problems in the field of management of these systems. The methodologies for creating such models use datasets on both transport infrastructure and demand for the delivery of goods or passenger transport, however, many factors are considered based on assumptions due to the complexity. This article describes the approach to modeling the cargo transportation system for road transport in Poland based on data obtained by the Central Statistical Office from the TD-E survey. This approach avoids many assumptions about demand as the demand parameters are estimated based on a sample representing the general population—a set of all economic entities generating freight traffic. Basic procedures in the developed approach have been implemented as Python scripts. As a result of the use of the proposed methodology, a country-wide road transport model was obtained based on the TD-E survey from 2018. The adequacy of the developed model was assessed based on the results of the General Traffic Measurement from 2015. The obtained model is of satisfactory quality (the coefficient of determination equals 0.62), which can be improved after calibrating the space resistance functions and improving the traffic distribution procedure.
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Krajowy model ciężarowego transportu drogowego na podstawie wyników badań TD-E
Naumov, Vitalii,
Szarata, Andrzej,
and Vasiutina, Hanna
Transport Miejski i Regionalny
2022
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A Methodological approach to the real-time data analysis from the viaTOLL system
Naumov, Vitalii,
Szarata, Andrzej,
and Vasiutina, Hanna
2021
Measuring the traffic parameters may be considered as one of the key operations in traffic management. With the contemporary monitoring systems, this issue transformed from the problem of gathering data to the issue of big data processing. In this chapter, we propose the methodological approach to the processing and analysing of the real-time flow of information from the traffic toll system. The core classes library developed in Python programming language implements the methodology of data processing. The results of the data analysis from the viaTOLL system (Poland) illustrate the use of the proposed approach.
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Modeling demand for deliveries by cargo bicycles in the Old Town of Kraków
Naumov, Vitalii,
Vasiutina, Hanna,
and Solarz, Agnieszka
Transportation research procedia
2021
Transport demand modeling is a crucial stage to be implemented for a variety of optimization techniques in the field of transportation management. The paper describes the model for simulations of demand for goods’ deliveries by cargo bicycles in the area with the restrictions of motorized traffic. The proposed model is based on the classical four-step approach with additional procedures for generations of demand as the flow of requests for cargo deliveries. The paper presents the case study of the demand generation in the Old Town district of Kraków city: the obtained simulation results are characterized by high adequacy. The simulation model, implemented in Python programming language, can be used as the main tool for solving optimization problems, such as the localization choice for loading points or substantiation of the number of cargo bicycles used for deliveries in the region.
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Web planning tool for deliveries by cargo bicycles in Kraków Old Town
Naumov, Vitalii,
Vasiutina, Hanna,
and Starczewski, Jakub
In Modern Traffic Engineering in the System Approach to the Development of Traffic Networks: 16th Scientific and Technical Conference" Transport Systems. Theory and Practice 2019" Selected Papers 16
2020
The paper proposes a mathematical model and implemented software for a freight delivery system, where cargo bicycles are used as a mean of transport. The proposed mathematical model uses a graph representation to describe a transport network, where consignees are associated with the vertices, while the graph edges reflect the sections of the road net. Requests for a freight delivery are characterized with a set of numerical parameters, such as: the consignment size, the package dimensions, the time interval between requests from clients and the delivery distance. The mathematical model was used in the web planning tool for deliveries by cargo bikes in the Kraków Old Town. In the paper, the authors briefly describe some features of the developed web application: the procedures of making orders by freight owners, creation of the delivery routes for carriers and other planning and management operations.