@ntu.edu.ua
Associate Professor, Transport Construction and Property Management
National Transport University
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Igor Gameliak, Anna Kharchenko, Andrew Dmytrychenko, Vitalii Svatko, Taras Moroz
Lecture Notes in Networks and Systems, 2025
Igor Gameliak, Anna Kharchenko, Andrew Dmytrychenko, Vitalii Svatko, Taras Moroz, et al.
Eastern European Journal of Enterprise Technologies, 2025
This study investigates the process of selecting filtering methods for the corresponding images of road defects, provided that the textures and edges of the depicted damage are maximally preserved. The results are aimed at solving the task of ensuring the overall quality of pre-processing of defect images by selecting an effective filter corresponding to the type of depicted road defect. An approach to selecting filtering methods for the corresponding images of road defects has been devised. Compared to conventional approaches, which are usually based on only one criterion, the devised approach is based on multi-criteria selection of an effective method. The approach algorithm combines the evaluation of the filtering results by the peak signal-to-noise ratio (PSNR) and the visual evaluation method based on established criteria. This is explained by the fact that the multi-criteria filter selection method produces a better integrated result compared to conventional ones as evidenced by the results of experimental testing. In particular, the practical implementation of the approach in the Python programming language (USA) and its testing based on images of 5 types of linear and planar damage types has been carried out. Based on the results of testing, it was found that the PSNR of the results of processing images of longitudinal cracks with a nonlocal averaged filter is 15.26% higher than when using the Gaussian filter, which is proposed in other studies. The PSNR of the results of processing images of potholes with a bilinear filter is 15.5% higher than when using the Gaussian filter. Such results indicate the possibility of effective application of these filters in practice for rapid pre-processing of large arrays of images of such defects
Olena Kryvoruchko, Zhansaya Abildaeva, Valeriia Lakhno, Mykola Tsiutsiura, Svitlana Tsiutsiura, et al.
Eastern European Journal of Enterprise Technologies, 2025
The object of this study is the process of optimizing digital marketing for agro-industrial enterprises under conditions of multi-criteria and uncertainty. A formal statement of the problem of optimizing marketing strategies for agricultural production has been given by using the genetic algorithm NSGA-III. A hybrid method was devised to solve the task of multi-criteria optimization of marketing strategies for agro-industrial enterprises. The method is based on the NSGA-III algorithm in combination with the XGBoost software library and adapted to industry constraints for marketing strategies in the agricultural markets of Ukraine and Kazakhstan Republic. This allows for the generation and interpretation of Pareto-optimal strategies taking into account such criteria as efficiency, coverage, return on investment (ROI), costs, and engagement. A cluster analysis of solutions has been performed; three characteristic scenarios were identified – balanced, cautious, and aggressive. Empirical validation by regression analysis demonstrated the high accuracy of the model, as well as its ability to extrapolate new solutions. In particular, the mean square error on the test sample was 0.0316 with the achieved coefficient of determination of 0.9041. The results confirm the effectiveness of the devised method to support decision-making under conditions of multi-criteria and limited resources. The proposed method was used as the basis for the development of software implemented in practice at enterprises of the agro-industrial complex. However, the scope of method application also includes the activities by other business entities that devise marketing strategies to achieve the efficiency of their activities
Anna Kharchenko, Vitalii Tsybulskyi, Natalia Sokolova, Alona Shpyh, Alexander Kanin, et al.
Eastern European Journal of Enterprise Technologies, 2025
This study examines the process that prioritizes road sections for performing operational maintenance work to ensure compliance with the predefined level of requirements. The task addressed is to prioritize road sections in order to enable long-term network maintenance. This issue is due to objective circumstances related to the existing lack of long-term financing, poor filling of databases on the condition of roads, the need to take into account various criteria depending on the purposes of budget allocations. Unlike similar studies, in which the basis is a simple arrangement of objects by their priority, a methodological approach has been devised that is long-term-focused and includes further optimization of the road maintenance program. Importantly, an analytical hierarchical process (AHP) method was integrated into the mathematical model whose solution has been implemented in authentic RoadRange program. In practice, it allows road organizations to determine an effective, economically justified long-term program for operational maintenance of roads under an automated mode without additional costs for expensive software. The devised methodological approach to prioritizing sections of highways was tested using data from the Kyiv oblast (Ukraine). Based on the calculation results, 14 sections had been identified that were included in the potential long-term program and met relevant conditions and criteria. The effectiveness of program formation was proven by calculating the ratio of the consistency index to the repair index that equaled 0.002, which does not exceed the limit value of 0.10. The prospect of this study is to test the devised methodological approach at other critical infrastructure facilities and adapt it accordingly.
Kostiantyn Medvediev, Anna Kharchenko, Anzhelika Stakhova, Yurii Yevseichyk, Vitalii Tsybulskyi, et al.
Infrastructures, 2024
The proposed methodology aims to determine and forecast the technical condition of bridge elements, which could serve as an advanced engineering tool for assessing reliability and durability. It is developed based on fundamental studies that synthesize the experience of studying the physical–mechanical and physical–chemical properties of materials in bridge structures operating under real conditions. The theoretical foundation of the methodology is a reliability model and residual lifetime prediction of bridge elements based on Markov’s theory. The developed methodology is designed for assessing the technical condition of individual bridge elements, followed by a comprehensive evaluation of the entire structure. Reliability during operation is adopted as the indicator of technical condition. This quantitative reliability indicator in the model serves as a criterion for evaluating the safety level of bridge elements; ranking of bridge elements as necessary for specific types of repair, reconstruction, or replacement; strategic planning of expenditures for repair or reconstruction under limited funding; and forecasting the remaining resource of elements. An evaluation and prediction algorithm for the technical condition of bridges is proposed for the application of the developed methodology. A mathematical experiment of the developed methodology was conducted, which confirmed the adequacy of the proposed hypothesis, i.e., the use of the reliability model and the prediction of residual lifetime of bridge elements. First, a three-step mechanism for refining the technical condition of the bridge is proposed, significantly enhancing the accuracy of the calculations. Therefore, the developed methodology holds practical value and can serve as a basis for information-analytical systems for managing the condition of bridges.
Anna Kharchenko, Anatolii Smirnov
Technology Audit and Production Reserves, 2023
The object of research is the processes of managing the consumption of anti-icing materials during the winter maintenance of highways. The main hypothesis of the research is the application of mathematical modelling methods to optimize the consumption of anti-icing materials. The study considered the factors that affect the use of both individual types and anti-icing materials as a whole. It was determined that the temperature of the road surface and the selected winter maintenance strategy taking into account the level of service (LOS) are significant factors. A mathematical model of material consumption optimization based on the binary numbering system is proposed. Additional limitations to the model have been established: compliance with the criteria of reliability, preservation of assets, road safety, compliance with user expectations (social factor), environmental friendliness, efficiency of the use of materials. An algorithm for the application of the method of optimizing the consumption of anti-icing materials during the winter maintenance of highways has been developed. It was determined that the developed method solves the main problem of minimizing the costs of anti-icing materials, taking into account the requirements of the level of service, the chosen strategy, the temperature of the road surface and the criteria of impact on winter maintenance. It is proposed to implement the calculation according to this method using the built-in «Parameter selection» function in the Microsoft Excel license environment (USA). The results obtained by the optimization method, based on real data, showed the possibility of saving materials by about 23 %, which confirms the effectiveness of the proposed solutions. The results of calculations based on the method of optimization of material consumption have practical value and can be used to make management decisions regarding the justification of winter road maintenance operations. The proposed method can be used both for the cost planning phase and in the case of analysis in the post-implementation period. This is an important aspect in the conditions of financial and resource uncertainty, including those related to circumstances of force majeure, in particular, martial law in Ukraine.
Viktoriia Khrutba, Tetiana Morozova, Anna Kharchenko, Inesa Rutkovska, Alla Herasymenko
Sustainable Aviation, 2023
A. Kharchenko, V. Khrutba, P. Trofymenko, I. Stakhiv, D. Liashenko
International Conference of Young Professionals Geoterrace 2023, 2023
A. Kharchenko, V. Khrutba, Yu. Khrutba, P. Trofymenko, D. Liashenko
17th International Conference Monitoring of Geological Processes and Ecological Condition of the Environment Monitoring 2023, 2023
Anna Kharchenko, Vitalii Tsybulskyi, Serhii Kovbasenko, Vitalii Simonenko, Mykola Kolbasin
Eastern European Journal of Enterprise Technologies, 2023
The object of this study is the process of implementation of control measures with the help of distance learning technologies for students of technical specialties. The problem of the application of information and communication technologies for the effective implementation of final control during distance learning has been studied. An authentic algorithm for creating a test on the Moodle platform has been developed. The proposed algorithm is based on the use of the classical structure of the ticket, which allows implementing an approach to final control that is closest to the traditional one. This is important for assessing the acquired practical students competences of engineering specialties since for them the control measure may include a combination of textual, graphic, and computational tasks. The application of the algorithm in practice allows one to improve the quality of the final assessment by ensuring equal conditions for students, attracting the optimal set of tools for this, as well as identifying the student and thus ensuring the transparency of the control measure. Verification of the developed algorithm during the quarantine period sessions at the Faculty of Transport Construction of the National Transport University demonstrated a better adaptability of students to conduct control measures in remote form. This is confirmed by an increase in quality (from 1.16 % to 6.8 %) and success (to 7.4 %) rates among students, as well as a high level of student satisfaction in 2022 with the effectiveness of online learning, which was determined through an anonymous questionnaire. Promising steps regarding the use of the algorithm in the final evaluation are the development of measures for the implementation of automated recognition of the emotional status of students
Igor Gameliak, Andrew Dmytrychenko, Vitalii Tsybulskyi, Anna Kharchenko
Eastern European Journal of Enterprise Technologies, 2022
Anna Kharchenko, Vitalii Tsybulskyi, Oleksandr Chechuha, Sergei Zavorotnii, Ivan Shuliak
Eastern European Journal of Enterprise Technologies, 2022
Alexander Kanin, Anna Kharchenko, Vitalii Tsybulskyi, Natalia Sokolova, Alona Shpyh
Eastern European Journal of Enterprise Technologies, 2022
Victoriia Khrutba, Anna Kharchenko, Yuliia Khrutba, Mykola Kolbasin, Vitalii Tsybulskyi, et al.
Eastern European Journal of Enterprise Technologies, 2022
Nikolay Dmytrychenko, Anna Kharchenko
Technology Audit and Production Reserves, 2021
Anna Kharchenko, Oleh Zaviyskyy, Vitalii Tsybulskyi, Serhii Zavorotnyi
Technology Audit and Production Reserves, 2021
Vasyl Mateichyk, Viktoriia Khrutba, Anna Kharchenko, Yuliia Khrutba, Olexander Protsyk, et al.
Transportation Research Procedia, 2021
Olena Slavinska, Anna Kharchenko, Andrey Bubela, Oleksandr Chechuha
Technology Audit and Production Reserves, 2020
Оlena Slavinska, Vitalii Stozhka, Anna Kharchenko, Andrey Bubela, Alina Kvatadze
Eastern European Journal of Enterprise Technologies, 2019
Оlena Slavinska, Vyacheslav Savenko, Anna Kharchenko, Andrey Bubela
Eastern European Journal of Enterprise Technologies, 2017
I Gameliak, A Kharchenko, A Dmytrychenko, V Svatko, T Moroz, ...
Eastern-European Journal of Enterprise Technologies 6 , 2025
2025
A Kharchenko, V Tsybulskyi, N Sokolova, A Shpyh, A Kanin, O Smirnov, ...
Eastern-European Journal of Enterprise Technologies 5 , 2025
2025
Citations: 1
I Gameliak, A Kharchenko, A Dmytrychenko
Intelligent Transport Systems: Ecology, Safety, Quality, Comfort … , 2025
2025
O Kryvoruchko, Z Abildaeva, V Lakhno, M Tsiutsiura, S Tsiutsiura, ...
Eastern-European Journal of Enterprise Technologies 135 (4) , 2025
2025
Citations: 3
KS Bakhtiiarova, AM Kharchenko
Publishing House “Baltija Publishing” , 2025
2025
NM Bavrovska, TV Movchan, NV Komarova, KS Bakhtiiarova, ...
Publishing House “Baltija Publishing” , 2025
2025
I Gameliak, A Kharchenko
Publishing House “Baltija Publishing” , 2024
2024
O Danylcenko, M Radchenko, O Datsko, E Zakharchenko, Y Fanin, ...
2024
АВ Вехник, МН Аббас, НВ Ольхович, НЙ Мицик, ВО Курченко, ...
2024
I Gameliak, A Kharchenko, A Dmytrychenko, V Svatko, T Moroz
International Scientific Conference Intelligent Transport Systems: Ecology … , 2024
2024
V Khrutba, I Rutkovska, A Kharchenko
Green, Blue and Digital Economy Journal 5 (2), 21-30 , 2024
2024
Citations: 2
I Hudyma, A Kharchenko
Publishing House “Baltija Publishing” , 2024
2024
V Savchenko, A Kharchenko
Publishing House “Baltija Publishing” , 2024
2024
Citations: 2
O Androshchuk, M Petrushen, B Antypchuk, V Volovetskyi, I Hudyma, ...
2024
K Medvediev, A Kharchenko, A Stakhova, Y Yevseichyk, V Tsybulskyi, ...
Infrastructures 9 (1), 16 , 2024
2024
Citations: 11
A Kharchenko, V Khrutba, Y Khrutba, P Trofymenko, D Liashenko
17th International Conference Monitoring of Geological Processes and … , 2023
2023
A Kharchenko, V Tsybulskyi, S Kovbasenko, V Simonenko, M Kolbasin
Eastern-European Journal of Enterprise Technologies 126 (2) , 2023
2023
Citations: 3
A Kharchenko, V Khrutba, P Trofymenko, I Stakhiv, D Liashenko
International Conference of Young Professionals «GeoTerrace-2023» 2023 (1), 1-5 , 2023
2023
V Khrutba, T Morozova, A Kharchenko, I Rutkovska, A Herasymenko
Sustainable Transport and Environmental Safety in Aviation, 37-58 , 2023
2023
Citations: 1
A Kharchenko, Y Hubar
Automobile Roads and Road Construction 2 (113), 101-108 , 2023
2023
В Кухаренко, В Бондаренко
Рецензенти: СО Семеріков, доктор педагогічних наук, професор Криворізького … , 2020
2020.0
Citations: 322
V Mateichyk, V Khrutba, A Kharchenko, Y Khrutba, O Protsyk, I Silantieva
Transportation Research Procedia 55, 1194-1201 , 2021
2021.0
Citations: 20
O Slavinska, V Stozhka, A Kharchenko, A Bubela, A Kvatadze
Восточно-Европейский журнал передовых технологий, 46-59 , 2019
2019.0
Citations: 15
K Medvediev, A Kharchenko, A Stakhova, Y Yevseichyk, V Tsybulskyi, ...
Infrastructures 9 (1), 16 , 2024
2024.0
Citations: 11
НМ Соколова, ОП Канін, АМ Харченко
Управління проектами, системний аналіз і логістика. Технічна серія, 130-139 , 2013
2013.0
Citations: 10
O Slavinska, V Savenko, A Kharchenko, A Bubela
Восточно-Европейский журнал передовых технологий, 45-57 , 2017
2017.0
Citations: 9
АМ Харченко, ОП Канін, НМ Соколова
Вісник [Національного транспортного університету], 496-504 , 2013
2013.0
Citations: 9
АМ Харченко, ОП Канін, НМ Соколова
Управління проектами, системний аналіз і логістика. Технічна серія, 195-207 , 2013
2013.0
Citations: 9
ОП Канін, АМ Харченко
Управління проектами, системний аналіз і логістика. Технічна серія, 71-78 , 2012
2012.0
Citations: 8
АМ Харченко
дис... канд. техн. наук: 05.13. 22 , 2010
2010.0
Citations: 8
I Gameliak, A Kharchenko, A Dmytrychenko, V Tsybulskyi, O Hustieliev
Strength of Materials and Theory of Structures, 243-254 , 2022
2022.0
Citations: 7
АМ Харченко
Автомобільні дороги і дорожнє будівництво. Вип 74, 68-71 , 0
Citations: 7
ОП Канін, АМ Харченко, НМ Соколова, АЮ Шпиг
Автомобільні дороги і дорожнє будівництво, 124-134 , 2015
2015.0
Citations: 6
V Khrutba, A Kharchenko, Y Khrutba, M Kolbasin, V Tsybulskyi, ...
Eastern-European Journal of Enterprise Technologies 118 (2) , 2022
2022.0
Citations: 5
I Gameliak, A Dmytrychenko, V Tsybulskyi, A Kharchenko
Eastern-European journal of enterprise technologies 1 (7), 115 , 2022
2022.0
Citations: 5
НМ Соколова, ОП Канін, АМ Харченко
Вісник [Національного транспортного університету], 434-442 , 2013
2013.0
Citations: 5
ОП Канін, НМ Соколова, АМ Харченко
Автомобільні дороги і дорожнє будівництво, 133-138 , 2012
2012.0
Citations: 5
A Kharchenko, V Tsybulskyi, O Chechuha, S Zavorotnii, I Shuliak
Eastern-European journal of enterprise technologies 117 (3) , 2022
2022.0
Citations: 4
A Kharchenko, O Zaviyskyy, V Tsybulskyi, S Zavorotnyi
Technology audit and production reserves 1 (2/57), 49-53 , 2021
2021.0
Citations: 4
СМ Заворотний, АМ Харченко
Автомобільні дороги і дорожнє будівництво, 82-92 , 2017
2017.0
Citations: 4