Research of the Logging Trucks Speed Dependence on Natural and Climatic Factors

Abstract

Abstract One of the parameters that allow us to predict the capacity of forest roads is the speed of the logging truck. It can act as an indicator of the road condition and be used as an optimality criterion for optimizing timber transport processes in the development of forest massive. This article is devoted to the study of the dependence of this indicator on natural and climatic factors when driving on various categories of forest roads at different times of the year. The object of the research is automobile logging roads located in the intensively used logging areas of the Krasnoyarsk territory. To obtain regression equations, the planning of the experiment was performed. Regression models were found that describe the influence of road slope and the amount of precipitation on the speed of a logging truck. The indicated dependencies are obtained for different categories of roads and periods of the year when driving in empty and cargo directions. All equations have fairly high accuracy and are statistically significant. The constructed dependencies are graphically illustrated. The results obtained can be used in planning the development of a road network in the forest area, selecting means, methods, and volumes of wood removal.