AUTOMATED ROAD CUTTER FOR REPAIRING VARIABLE ROAD SURFACES

Abstract

This study focuses on precision control of rut milling on the highways of the Republic of Kazakhstan. Rut formation is one of the main causes of road traffic accidents, making the improvement of road repair technologies highly relevant. The aim of this work is to develop methods for controlling automated road milling machines to increase surface smoothness, reduce profile deviation dispersion, and enhance traffic safety. To achieve this goal, the following tasks were undertaken: analysis of existing rut milling technologies, study of automated road machine control methods, development of a digital road surface model and its integration with the feedback system, and experimental testing using disc milling tools. Modern non-contact laser sensors, numerical control systems, and corrective variable movements of the milling cutter were employed. Experimental results demonstrated that precision control significantly reduces the root mean square deviation of the milled surface, compensates for tool wear, thermal deformations, and tire pressure fluctuations. This ensures high smoothness of the road surface, minimizes lateral rut protrusions, and reduces the risk of traffic accidents. In conclusion, the proposed method of precision rut milling control is an effective tool for improving road repair quality. The results have practical significance for integration into modern numerical control systems of construction and road machines, and open prospects for further optimization of technological processes and enhancement of traffic safety.