Nowadays unmanned aircraft systems (UASs) are planned to be used in many branches of people's activity and fulfill different tasks. It is also considered one of the prospective technologies for realization of the concepts of Industry 4.0. and Society 5.0. Many of the tasks in the frame of prospective concepts including cargo delivery, photo and filmmaking, future transportation, monitoring, different security applications, and others are, obviously the subject of urban flying. It is obvious that to provide safe, secure, efficient UAS operations the operators and corresponding services should be aware of possible hazards during the flight and mission realization. The paper considers the possibilities of modern and prospective technologies to collect, fuse, and process diverse weather data including real-time data focusing on meteorological information. An algorithm that is based on statistical meteorological data analysis for machine learning to indicate and forecast potentially hazardous areas for unmanned aircraft flight was proposed. The concept of common information space for the exchange of operative information and study components of the common information space for advanced weather service of aviation was presented and discussed. The data exchange pattern in the advanced system for weather service of aviation was also considered and characteristics that should be taken into account were discussed. The simulation was done to demonstrate the benefits of the proposed approach.
Prentkovskis, O., Yatskiv (Jackiva), I., Skačkauskas, P., Karpenko, M., Stosiak, M. (eds) TRANSBALTICA XV: Transportation Science and Technology. TRANSBALTICA 2024. Lecture Notes in Intelligent Transportation and Infrastructure.
Volume
Year of publishing
2025
Citation
DSTU
Cherednichenko K., Ivannikova V., Sokolova O., Ostroumov I.V., Sushchenko O., Averyanova Yu., Zaliskyi M., Solomentsev O., Bezkorovainyi Y., Holubnychyi O., Kuznetsov B., Bovdui I., Nikitina T., Voliansky R.Simulation Modelling for Urban Transport Infrastructure Optimization in Ukraine. Prentkovskis, O., Yatskiv (Jackiva), I., Skačkauskas, P., Karpenko, M., Stosiak, M. (eds) TRANSBALTICA XV: Transportation Science and Technology. TRANSBALTICA 2024. Lecture Notes in Intelligent Transportation and Infrastructure.. . № . P. 367-380 DOI: 10.1007/978-3-031-85390-6_35 .
IEEE
K. Cherednichenko et al., "Simulation Modelling for Urban Transport Infrastructure Optimization in Ukraine," in Prentkovskis, O., Yatskiv (Jackiva), I., Skačkauskas, P., Karpenko, M., Stosiak, M. (eds) TRANSBALTICA XV: Transportation Science and Technology. TRANSBALTICA 2024. Lecture Notes in Intelligent Transportation and Infrastructure., vol. , , pp. 367-380 , doi:10.1007/978-3-031-85390-6_35.
Harvard
Cherednichenko K., Ivannikova V., Sokolova O., Ostroumov I.V., Sushchenko O., Averyanova Yu., Zaliskyi M., Solomentsev O., Bezkorovainyi Y., Holubnychyi O., Kuznetsov B., Bovdui I., Nikitina T., and Voliansky R., 2025. Simulation Modelling for Urban Transport Infrastructure Optimization in Ukraine. In Prentkovskis, O., Yatskiv (Jackiva), I., Skačkauskas, P., Karpenko, M., Stosiak, M. (eds) TRANSBALTICA XV: Transportation Science and Technology. TRANSBALTICA 2024. Lecture Notes in Intelligent Transportation and Infrastructure., (pp. 367-380).
Springer
Cherednichenko, K., Ivannikova, V., Sokolova, O., Ostroumov, I.V., Sushchenko, O., Averyanova, Yu., Zaliskyi, M., Solomentsev, O., Bezkorovainyi, Y., Holubnychyi, O., Kuznetsov, B., Bovdui, I., Nikitina, T., Voliansky, R.: Simulation Modelling for Urban Transport Infrastructure Optimization in Ukraine. Prentkovskis, O., Yatskiv (Jackiva), I., Skačkauskas, P., Karpenko, M., Stosiak, M. (eds) TRANSBALTICA XV: Transportation Science and Technology. TRANSBALTICA 2024. Lecture Notes in Intelligent Transportation and Infrastructure. , 367-380 (2025). doi:10.1007/978-3-031-85390-6_35.
BibTex
@InProceedings{10.1007/978-3-031-85390-6_35,
author="Cherednichenko, Kostiantyn
and Ivannikova, Viktoriia
and Sokolova, Olena
and Ostroumov, Ivan
and Sushchenko, Olha
and Averyanova, Yuliya
and Zaliskyi, Maksym
and Solomentsev, Oleksandr
and Bezkorovainyi, Yurii
and Holubnychyi, Oleksii
and Kuznetsov, Borys
and Bovdui, Ihor
and Nikitina, Tatyana
and Voliansky, Roman",
editor="Prentkovskis, Olegas
and Yatskiv (Jackiva), Irina
and Ska{v{c}}kauskas, Paulius
and Karpenko, Mykola
and Stosiak, Micha{l}",
title="Simulation Modelling for Urban Transport Infrastructure Optimization in Ukraine",
booktitle="TRANSBALTICA XV: Transportation Science and Technology",
year="2025",
publisher="Springer Nature Switzerland",
address="Cham",
pages="367--380",
abstract="This paper explores the optimization of transport interchanges in Ukraine using simulation modelling techniques. The study focuses on two primary strategies: adjusting traffic light phases and implementing a controlled Y-shaped intersection. These methods aim to enhance traffic flow and reduce travel times, both critical for wartime logistical support and post-war recovery in Ukraine. Unlike most studies that emphasize the development and testing of new infrastructure, this research focuses on optimizing existing structures. Given Ukraines current situation, the allocation of financial resources to construct new interchanges is not a priority, as such funds are better directed to national defence efforts. These cost-effective solutions are feasible for cities with limited budgets. The research underscores the value of simulation modelling as a powerful tool for optimizing transport infrastructure, enabling data-driven decisions and risk mitigation, which are essential for economic recovery and long-term sustainable development.",
isbn="978-3-031-85390-6"
}
Ivan OSTROUMOV, DSc and PhD