Automation of engineering data analysis of urban transport systems
Abstract
Automation of engineering data analysis of urban transport systems
Incoming article date: 23.10.2021The article discusses the automation of the process of engineering data analysis of urban transport systems using the freely distributed machine learning tool KNIME. The real example of an algorithm for the primary automated processing of data on transactions of public transport passengers been developed. The results can be converted into an analytical report. The advantage of the proposed solution is implementation by urban transport enterprises without software code and additional costs.
Keywords: urban transport system, KNIME, data analysis, transactions, passenger, automation of the research process