Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/102515
Title: Model for assessing the road train stability movement
Authors: Stroganov, Y. N.
Belov, V. V.
Mikheev, G. M.
Belova, N. N.
Maksimov, A. N.
Ognev, O. G.
Issue Date: 2020
Publisher: IOP Publishing Ltd
Citation: Model for assessing the road train stability movement / Y. N. Stroganov, V. V. Belov, G. M. Mikheev, et al. — DOI 10.1088/1755-1315/604/1/012009 // IOP Conference Series: Earth and Environmental Science. — 2020. — Vol. 604. — Iss. 1. — 012009.
Abstract: Road trains (RT) are the main transport in agriculture. However, their accident rate is quite high. In the vehicles movement research their design characteristics and operating modes are mainly improved. The main way to reduce the accident rate remains the speed limit. The authors proposed methods (confirmed by the issued patents) for ensuring the stability of the RT movement by changing the design of trailer devices. The purpose of this work is to form a mathematical model for assessing the stability of the RT movement in the presence of side effects (modeling of sharp turns, impacts). Methods of analysis and synthesis, mathematical analysis, and vector geometry were applied. The process of RT yawing on the highway is split into a number of stages, for which the laws of changing its geometry and kinematics are formulated. Side effect leads to increase in the RT impulse (lateral oscillations increase the speed), or to a violation of stability (the movement amplitude goes beyond the highway or tipping). This model can be used to analyze the stability of the RT movement and evaluate methods to influence it in order to reduce the probability of accidents. © 2020 Published under licence by IOP Publishing Ltd.
Keywords: AGRICULTURAL ROBOTS
ROADS AND STREETS
ACCIDENT RATE
DESIGN CHARACTERISTICS
LATERAL OSCILLATIONS
MATHEMATICAL ANALYSIS
METHODS OF ANALYSIS
OPERATING MODES
SIDE EFFECT
VECTOR GEOMETRY
STABILITY
URI: http://hdl.handle.net/10995/102515
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85097333176
PURE ID: 20216850
d41d7efb-7007-4361-9f5d-81db42b1b205
ISSN: 17551307
DOI: 10.1088/1755-1315/604/1/012009
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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