IJBTT

Intelligent Design System for Logging Truck Roads

Intelligent Design System for Logging Truck Roads
	© 2021 by IJETT Journal
	Volume-69 Issue-8
	Year of Publication : 2021
	Authors : Anton Olegovich Borovlev, Aleksey Vasilyevich Skrypnikov, Vyacheslav Gennadievich Kozlov, Vladimir Anatolyevich Zelikov, Galina Anatolyevna Pilyushina, Valery Alfeyevich Burmistrov, Maria Nikolaevna Kazachek
	DOI :  10.14445/22315381/IJETT-V69I8P211

How to Cite?

Anton Olegovich Borovlev, Aleksey Vasilyevich Skrypnikov, Vyacheslav Gennadievich Kozlov, Vladimir Anatolyevich Zelikov, Galina Anatolyevna Pilyushina, Valery Alfeyevich Burmistrov, Maria Nikolaevna Kazachek, "Intelligent Design System for Logging Truck Roads," International Journal of Engineering Trends and Technology, vol. 69, no. 8, pp. 89-95, 2021. Crossref, https://doi.org/10.14445/22315381/IJETT-V69I8P211

Abstract
The possibility of improving the quality of design solutions is associated with taking into account the visual perception of roads. The road traffic situation depends on the wrong perception of the logging truck road direction by drivers or on the overestimation of dangerous traffic speeds. On the other hand, slowing down the lumber-truck speed before the seemingly sharp road turns affects the operational efficiency of the logging transport. Therefore, the perspective view of the road should strongly orient the driver, i.e., be visually clear and changing clearly, ensuring the constancy or smooth reduction of the traffic flow mode. At that, the need for a successful spatial solution of the road increases. It is established that the perspective road view correctly orients the vehicle driver, i.e., it is visually clear, provided that the lines outlining the roadway edges and the trackway joining edges are curved in the perspective image in the same direction as in the road plan. The study aims at determining a set of quantitative indicators (curvature, radius of the horizontal curve, maximum curvature, maximum curve curvature rate) to optimize the visual smoothness and clarity of the central projections of elementary spatial and plane curves. The performed studies allow fully characterizing the visual smoothness and clarity of the central projections of elementary spatial and plane curves. The suggested algorithm makes it possible to develop software to determine the abovementioned indicators. The indicators determined based on this algorithm allow evaluating both the visual smoothness and clarity of curves of logging truck roads.

Keywords
spatial curves, building a road, visual clarity, curved section, algorithm.

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