Information-intelligent system for improving geometric control of the construction of road rounds
https://doi.org/10.21266/2079-4304.2022.239.161-171
Abstract
Modern roads in general and logging roads in particular are characterized by a complex of engineering structures, where the most important are curved sections, which largely determine the level of technical and economic indicators and traffic safety. Annual economic losses due to the unsuccessful design of the logging road route cause enormous damage to enterprises and sectors of the economy. The process of designing logging roads includes a technological sequence of design operations, which necessitates the development of scientifically based design methods. Therefore, increasing the efficiency of road construction production is associated with improving the methods of surveying, designing and building logging roads. As the intensity of traffic on logging roads increased, it became necessary to optimally design the geometric elements of the road, in particular, curved sections. The aim of the work is to determine ways to improve the methodology for designing and geometric control of the construction of road curves. Some design curvilinear outlines of road sections, for example, braking transition curves of transport interchanges, sometimes do not fully ensure the safety and efficiency of traffic in general and logging in particular, and require appropriate improvement. Consequently, the existing technological scheme for conducting survey work, based on the use of traditional geodetic measurement methods, needs to be improved. Based on the use of modern information and intellectual technologies, ground-based stereophotogrammetry, which allows obtaining high-quality survey materials, and thanks to the presented methodology, it is possible to obtain mathematical dependencies to determine the optimal geometric parameters of curved sections of logging roads.
About the Authors
P. V. TikhomirovRussian Federation
TIKHOMIROV Petr V. – PhD (Technical), Associate Professor of the Department of Transport and Technological Machines and Service
241037. Stanke Dimitrov av. 3. B
A. V. Skrypnikov
Russian Federation
SKRYPNIKOV Alexey V. – DSc (Technical), Professor, Head of the Department of Information Security, Dean of the Faculty of Management and Informatics in Technical Systems
394036. Revolyutsii av. 19. Voronezh
I. A. Vysotskaya
Russian Federation
VYSOTSKAYA Irina A. – PhD (Physical and Mathematical), Associate Professor of the Department of Information Security
394036. Revolyutsii av. 19. Voronezh
M. N. Kazachek
Russian Federation
KAZACHEK Maria N. – PhD student of the Department of Transportation and Traffic Safety
394087. Timiryazev str. 8. Voronezh
V. A. Zelikov
Russian Federation
ZELIKOV Vladimir A. – DSc (Technical), Associate Professor, Head of the Department of Organization of Transportation and Traffic Safety
394087. Timiryazev str. 8. Voronezh
A. B. Bondarev
Russian Federation
BONDAREV Alexander B. – PhD (Technical), doctoral student of the Department of Information Security
394036. Revolyutsii av. 19. Voronezh
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Review
For citations:
Tikhomirov P.V., Skrypnikov A.V., Vysotskaya I.A., Kazachek M.N., Zelikov V.A., Bondarev A.B. Information-intelligent system for improving geometric control of the construction of road rounds. Izvestia Sankt-Peterburgskoj lesotehniceskoj akademii. 2022;(239):161-171. (In Russ.) https://doi.org/10.21266/2079-4304.2022.239.161-171