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Remote monitoring is the most important stage in controlling the technical condition of a modern vehicle under operating conditions. Remote control of the technical condition involves using V2I systems in order to form and apply individual maintenance and repair systems. V2I information model developed in the article is characterized by vehicle digital field, limited by regulatory rules, with means for technical condition parameters monitoring and components of infrastructure for each vehicle monitoring. The article describes the peculiarities of V2I information system and the process of monitoring and evaluating the vehicle technical condition under operating conditions with the possibility of forecasting. The monitoring information system is designed to ensure the vehicle efficient operation under non-stationary operating conditions, with continuous consideration of information from road and transport infrastructure.

This paper describes research focused upon improved the quality of automobile engine quality. Methods and models were developed for estimating and predicting the technical condition of internal combustion engine (ICE), which provides usage of the decision support making in the search for minimum fuel consumption regimes. We developed models of multi-criterion, multiparametric optimization of energy and material-material characteristics of ICE according to the system approach. The developed methods and models for estimating and predicting the technical state of the functionally interconnected and interacting ICE components are performed taking into account their hierarchy and topologies, energy resource used and the fuel. The cognitive methodology has been used to make engine models researches and analysis. The paper focuses on the fuzzy logic approach applying, considering the indeterminacy, incompleteness and unclear information in the engines operation processes.