Methodology for Assessing Completeness, Reliability and Quality of Monitoring Data for Intelligent Transportation Systems Infrastructure

The article presents a methodology for quantitative assessment of the completeness, reliability and quality of primary data collected within the framework of monitoring the infrastructure of intelligent transportation systems on public roads of the Russian Federation. The relevance of the study is determined by the need for formalized quality control of source information used for the formation of consolidated ITS equipment inventories and subsequent analysis of the state of digital road infrastructure. The proposed methodology is a tool for verifying the reliability and completeness of primary data, on the basis of which such an analysis is performed. The scientific novelty of the study lies in the development of a system of interconnected criteria and integral indices intended for quantitative assessment of the completeness and reliability of ITS monitoring data, as well as for the formation of a consolidated information quality index. The methodology includes the calculation of partial data quality criteria, the formation of an integral index of data completeness, an integral index of data reliability and an integral information quality index. The proposed approach ensures reproducibility of calculations, comparability of monitoring results and the possibility of subsequent automation of ITS data quality assessment procedures.

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