ANALYTICAL ANALYSIS OF APPROACHES TO REMOTE VEHICLES MONITORING AND DIAGNOSTICS OF DURING THEIR OPERATION

Authors

DOI:

https://doi.org/10.31891/2219-9365-2025-82-55

Keywords:

vehicle, remote diagnostics, technical condition, OBD2, Diagnostic Trouble Code

Abstract

This study presents a comprehensive bibliometric analysis of the Web of Science Core Collection database to explore the current state, trends, and research needs in the field of remote vehicle monitoring and diagnostics within the automotive industry. Our objective was to identify key areas of scientific focus and emerging technological priorities by systematically examining the literature. To achieve this, we developed a complex search query using four groups of keywords. The first group targeted general automotive and diagnostic terminology, including "Diagnostic Trouble Code," "Electronic Control Unit," "On-Board Diagnostics," "transportation system," "automotive," "vehicle," "car," "vehicle diagnostic," and "vehicle monitoring." The second group covered scientific and technical approaches such as "method," "research," "diagnostics," "monitoring," "observation," "analysis," "maintenance," and "telematics." The third group focused on specific components and parameters related to vehicle performance and health, including "error," "fault," "ignition," "engine," "onboard," "OBD," "health," "performance," "driving," "habit," "fuel," "transmission," "powertrain," "ECU," "tire," "pressure," "sensor," "filter," "HVAC," and "air conditioning." The final group focused on the concept of remoteness, featuring the keyword "remote." The search results were analyzed and visualized across various dimensions, including the number of publications by year, publication types, research categories, leading authors, affiliated institutions, geographic distribution by country, research areas, and alignment with the UN Sustainable Development Goals. Furthermore, we generated a citation report and conducted an in-depth analysis of influential publications by other researchers in this domain. The results provide insights into the scientific landscape and inform future research directions for advancing remote diagnostics in intelligent transportation systems.

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Published

2025-05-15

How to Cite

MATIICHUK, L., MELNYK, A., HOTOVYCH, V., & BONAR, V. (2025). ANALYTICAL ANALYSIS OF APPROACHES TO REMOTE VEHICLES MONITORING AND DIAGNOSTICS OF DURING THEIR OPERATION. MEASURING AND COMPUTING DEVICES IN TECHNOLOGICAL PROCESSES, 82(2), 380–389. https://doi.org/10.31891/2219-9365-2025-82-55