Article

Received 31.03.2023

Revised 26.08.2023

Accepted 20.09.2023

Retrieved from Iss. 114, P. 1, 2023

Pages 34 -44

Gameliak, I., Dmytrychenko, A., Alieksieienko, O., & Artemchuk, Yu. (2023). DEVELOPMENT OF THE MANAGEMENT MODEL FOR ROAD TRANSPORT SYSTEMS INFORMATION SECURITY. Automobile Roads and Road Construction, (114.1), 34-44. https://doi.org/10.33744/0365-8171-2023-114.1-034-044

DEVELOPMENT OF THE MANAGEMENT MODEL FOR ROAD TRANSPORT SYSTEMS INFORMATION SECURITY

Igor Gameliak Andrii Dmytrychenko Oleksandr Alieksieienko Yuliia Artemchuk

The problem of transportation safety was and will be exist. Transport safety is the target of the functioning of the transport organizational and technical system, that is composed for achieve the situation (set of situations) of the vehicle operating, fixed at a specific point of time, characterized by the accidents absence or the optimization of quantitative safety and environmental performance indicators over a specified period of time. Violation of this equilibrium leads to emergencies. It is necessary to have an operational safety management system in place for transport that works to prevent, preservating accidents and reduce the risk of their occurrence. Promising direction for improvement of monitoring information support of auto transport systems is driver operative informing by telematics ways about system technical condition while driving. In the event of a problem situation, the specialist will play out scenarios for its solution. To make the right and operative decision, the specialist must be an expert, and the path to the expert lasts at least 10 years. There is a necessity to create intelligent expert systems that will determine the actual condition of the vehicle that will based on the obtained parameters, through engineering knowledge, will let to make decisions and to pass it on to the device, that will informing the driver for necessity to execute a specific scenario. While solving most of the tasks related to ensuring the safety of traffic and the organization of passengers and cargo transportation in economic activity process, there is a necessity to ensure the monitoring of motor transport systems through the introduction of informational, telecommunication and satellite technologies of automotive systems and units diagnostic centers. In the presence of sufficient quantity and quality of parametric sensors that record and transmit data on the current technical condition of truck systems and units and the presence of operating diagnostic algorithms in remote informational and analytical centers, sudden failures of truck systems and units that are performing transport work and are located at a considerable distance from their own service stations can be avoided

road safety management model, subject area of activity; systematic analysis, scenario; monitoring; traffic safety, informational monitoring
  1. Petrashevskyi, O.L., Redziuk, A.M., & Aliieksieienko, O.V. (2009). Methodology of conceptual-logical and project modeling of goals of the road safety management system. Transport Problems: Collection of Scientific Works, 6, 76-89.
  2. Petrashevskyi, O.L., & Redziuk, A.M. (2004). Morphology of the subject area of activity to ensure safety in transport. In Market of complex transport systems services and applied logistics problems: Proceedings of the 6th international scientific and practical conference (pp. 43-46). Kyiv.
  3. Petrashevskyi, O.L., Redziuk, A.M., Korbut, V.V., & Rabotnov, V.G. (2005). Structure of the system for ensuring safety in transport. In Market of complex transport systems services and applied logistics problems: Proceedings of the 7th international scientific and practical conference (pp. 127-130). Kyiv.
  4. Petrashevskyi, O.L., & Aliieksieienko, O.V. (2006). Improvement of information support for monitoring of motor transport systems. Bulletin of the National Transport University, 13, 53-58.
  5. Petrashevskyi, O.L., Korbut, V.V., & Rabotnov, V.G. (2003). Identification of conceptual and logical-linguistic models of transport organizational-technical systems by levels of construction. Bulletin of the National Transport University, 8, 117-120.
  6. Udovyk, I.M., Korotenko, H.M., Korotenko, L.M., Trusov, V.O., & Khar, A.T. (2017). Methods and systems of artificial intelligence: Study guide. Dnipro: State Higher Educational Institution “National Mining University”. 
  7. Zheldak, T.A., Koriashkina, L.S., & Us, S.A. (Eds.). (2020). Fuzzy sets in control systems and decision-making. Dnipro: National Technical University “Dnipro Polytechnic”.
  8. Petrashevskyi, O.L., & Korbut, V.V. (2003). Principles of building the conceptual apparatus of activity on managing the safety of general aviation. In Proceedings of the V international scientific and technical conference “Aviation – 2003” (pp. 134-136). Kyiv: National Aviation University.
  9. Petrashevskyi, O.L., & Rabotnov, V.G. (2005). Terms and definitions of the system for ensuring safety of navigation. Transport Problems: Collection of Scientific Works, 2, 111-114.
  10. Petrashevskyi, O.L., Redziuk, A.M., & Aliieksieienko, O.V. (2008). Models of terms and definitions of the system for ensuring safety in transport. Transport Problems: Collection of Scientific Works, 5, 28-36.
  11. Fundamentals of systems theory and management: Study guide. (2021). Rivne: National University of Water and Environmental Engineering.
  12. Svítek, M., & Přibyl, P. (2001). Intelligent transport systems. Prague.
  13. Petrashevskyi, O.L. (2003). Methodological aspects of research and design of transport organizational-technical systems. Bulletin of the Northern Scientific Center of the Transport Academy of Ukraine, 6, 31-33.
  14. Aliieksieienko, O.V., & Artemchuk, Yu.V. (2019). Methodology of modeling goals of the road safety management system and cargo delivery processes. Scientific Letters of Academic Society of Michal Baludansky, 7, 15-22.
  15. Wikipedia. Self-driving automobile. (n.d.). Retrieved from https://uk.wikipedia.org/wiki/Самокерований_автомобіль.
  16. Self-driving car levels (SAE/NHTSA). (2016). Retrieved from https://www.wired.com/2016/08/self-driving-car-levels-sae-nhtsa/.
  17. SAE International. (n.d.). Retrieved from https://www.sae.org.

https://doi.org/10.33744/0365-8171-2023-114.1-034-044