2023
DOI: 10.3390/machines11070745
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Stability Analysis of a Vehicle–Cargo Securing System for Autonomous Trucks Based on 6-SPS-Type Parallel Mechanisms

Abstract: Stability prediction of the securing system for autonomous trucks is an important prerequisite for achieving safety monitoring of large cargo transportation and improving logistics efficiency. Considering the side slide risk of large cargo and the inability to predict stability using the existing under-constrained friction securing model, this paper proposes a new vehicle–cargo securing model based on the 6-SPS parallel mechanism. By establishing an analytical 3-DOF model, the dynamics performance of the vehic… Show more

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Cited by 5 publications
(1 citation statement)
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“…The proposed method can theoretically support accurate stability prediction and achieve safety monitoring of large freight transport for autonomous trucks. In [20], the lack of human intervention, cargo loosening, relocation, non-oriented positions, etc., during transportation could negatively affect the dynamics and stability of vehicles and bring huge economic losses, which suggests the need for higher stability requirements for the safety system of trucks and goods being transported [21]. In this paper, the authors propose mathematical models for the problem of loading goods into transport units.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The proposed method can theoretically support accurate stability prediction and achieve safety monitoring of large freight transport for autonomous trucks. In [20], the lack of human intervention, cargo loosening, relocation, non-oriented positions, etc., during transportation could negatively affect the dynamics and stability of vehicles and bring huge economic losses, which suggests the need for higher stability requirements for the safety system of trucks and goods being transported [21]. In this paper, the authors propose mathematical models for the problem of loading goods into transport units.…”
Section: Literature Reviewmentioning
confidence: 99%