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Название: Model for assessing the road train stability movement
Авторы: Stroganov, Y. N.
Belov, V. V.
Mikheev, G. M.
Belova, N. N.
Maksimov, A. N.
Ognev, O. G.
Дата публикации: 2020
Издатель: IOP Publishing Ltd
Библиографическое описание: 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.
Аннотация: 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.
Ключевые слова: 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://elar.urfu.ru/handle/10995/102515
Условия доступа: info:eu-repo/semantics/openAccess
Идентификатор SCOPUS: 85097333176
Идентификатор WOS: 000657346100009
Идентификатор PURE: d41d7efb-7007-4361-9f5d-81db42b1b205
20216850
ISSN: 17551307
DOI: 10.1088/1755-1315/604/1/012009
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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