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RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS of Ukraine (KHARKIV, UKRAINE)

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Liburkina L. M.

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Use of Predictive Intelligent Motion Stabilization Systems as a Tool for Increasing the Economic Efficiency of Transport and Logistics Processes
Mashchenko M. A., Doroshenko A. P.

Mashchenko, Maryna A., and Doroshenko, Anton P. (2026) “Use of Predictive Intelligent Motion Stabilization Systems as a Tool for Increasing the Economic Efficiency of Transport and Logistics Processes.” Business Inform 5:322–330.
https://doi.org/10.32983/2222-4459-2026-5-322-330

Section: Economics of Transport and Communications

Article is written in Ukrainian
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UDC 656.13:658.5:004.896

Abstract:
The article explores the possibilities of using predictive intelligent vehicle motion stabilization systems as a tool to improve the economic efficiency of companies’ transport and logistics processes in the context of the digital transformation of the transport sector. The research substantiates the feasibility of applying predictive control algorithms, road environment monitoring sensor systems, and artificial intelligence technologies to ensure adaptive regulation of vehicle movement parameters in real time. The main functional components of a predictive intelligent motion stabilization system are identified, and the mechanism of their integration into the company’s transport and logistics management system is revealed. The impact of predictive motion stabilization systems on reducing accident rates in transportation, cutting vehicle maintenance costs, and optimizing the use of fuel and energy resources and the productivity of the vehicle fleet is analyzed. An economic model for assessing the efficiency of implementing predictive intelligent traffic stabilization systems has been proposed, which involves determining the overall economic effect based on reducing operating costs and improving the effectivity of logistics operations. A structural-logical model of the impact of predictive intelligent traffic stabilization systems on the efficiency of transport and logistics processes of an enterprise has been developed. The research results can be used when forming strategies for the digital transformation of transport and logistics enterprises, improving transportation safety, and optimizing traffic management in conditions of increasing external uncertainty.

Keywords: predictive control; intelligent transport systems; vehicle movement stabilization; transport and logistics processes; logistics digitalization; economic efficiency; operating costs; economic risks; competitiveness.

Fig.: 1. Tabl.: 2. Formulae: 2. Bibl.: 16.

Mashchenko Maryna A. – Doctor of Sciences (Economics), Professor, Head of the Department, Department of Entrepreneurship, Trade and Logistics, National Technical University «Kharkiv Polytechnic Institute» (2 Kyrpychova Str., Kharkіv, 61002, Ukraine)
Email: [email protected]
Doroshenko Anton P. – Director, DOROSHTRANS LOGISTIC LLC (3158 S Bumby Ave., Orlando, United States)
Email: [email protected]

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