Authors: M.D. Potashnikov, A.S. Muravev, A.B. Kartashov, N.A. Pikalov, S.V. Nazarenko

Title of the article: Formation of an approach to the processing of statistical data on vehicle movements

Year: 2023, Issue: 3, Pages: 34-50

Branch of knowledge: 2.8.8 Mining machines, geotechnology (engineering)

Index UDK: 629.33

DOI: 10.26730/2618-7434-2023-3-34-50

Abstract: The article describes the process of analysis and processing of statistical data on truck traffic obtained with the help of navigation equipment installed on the vehicles under consideration. The detailed analysis of initial data, as well as all stages of their processing, using specialized packages of Python language tools, such as Pandas, Numpy and Sklearn, is carried out. The effectiveness of the proposed data processing approach is demonstrated by comparing the driving cycles of vehicles generated from the original and modified data. The topic of data analysis and processing is not a new one, but the relevance of the paper lies in the successful application of common and efficient processing methods to statistical vehicle motion data, the handling of which is complicated by the fact that they are obtained with widely used but task-oriented equipment. Thus, the work opens new opportunities for statistical analysis of truck traffic without the need to replace navigation equipment.

Key words: data analysis machine learning driving cycles of vehicles navigation equipment statistics

Receiving date: 05.08.2023

Approval date: 11.09.2023

Publication date: 29.11.2023

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