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Received 09.07.2024

Revised 10.11.2024

Accepted 14.12.2024

Retrieved from Iss. 116, P. 2, 2024

Pages 92 -103

  • 175 Views

Suggested citation

Sokolova, N., & Koncha, P. (2024). PREDICTION OF PAVEMENT WEAR BASED ON THE ANALYSIS OF CLIMATIC CONDITIONS AND TRAFFIC LOAD. Automobile Roads and Road Construction, (116.2), 92-103. https://doi.org/10.33744/0365-8171-2024-116.2-092-103

PREDICTION OF PAVEMENT WEAR BASED ON THE ANALYSIS OF CLIMATIC CONDITIONS AND TRAFFIC LOAD

Natalia Sokolova Pavlo Koncha

Abstract

The article discusses the problem of road pavement wear in Ukraine, which is relevant given the high level of road wear in many regions of the country. The article analyzes the impact of various factors on the condition of roads, including climatic conditions and traffic load. The study found that climatic factors such as average annual air temperature, precipitation, and solar radiation intensity have a significant impact on road surface wear. In addition, different types of vehicles, their intensity, and traffic flow parameters also have a significant impact on road conditions. The econometric analysis showed that the dependence of the share of roads in critical condition on the number of vehicles, such as buses, trucks, and cars, is weak, as evidenced by the low coefficient of determination (R² = 0.10) and the unreliability of the model. At the same time, climatic factors turned out to be significant, and the model of dependence of the share of roads in critical condition on climatic conditions has better indicators (R² = 0.36), which indicates the reliability of the model. However, even the third-degree polynomial model, which takes into account the nonlinear nature of the impact of annual precipitation on road conditions, does not provide sufficiently accurate forecasts due to its limited ability to explain variations in the dependent variable. The results of the study indicate the need to develop more comprehensive models that include a wider range of factors. This approach will improve the accuracy of forecasts of pavement condition and contribute to more efficient planning of repair work. In the future, additional variables should be taken into account, such as the types of materials used to make the roads, the specifics of their operation, and other factors that may affect pavement wear. The study is important for developing strategies for maintaining road infrastructure, as it allows not only to identify the main causes of road wear, but also to develop approaches to reduce the negative effects of these factors. The use of the results obtained can contribute to a more rational use of resources required for road repairs and improve their quality and durability in conditions of intense climatic load and transport operation

Keywords:

road infrastructure, pavement wear, climatic factors, traffic load, share of roads in critical condition, econometric model, air temperature, precipitation

References

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https://doi.org/10.33744/0365-8171-2024-116.2-092-103

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