两平台概念等距转向系统的骑行性能研究

Arthur Werle, Frank Diermeyer
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引用次数: 0

摘要

在本文中,我们在摩托车驾驶模拟器上使用了等距转向系统。该研究是针对一个静态和动态平台进行的,该平台使用了文献中已知的运动线索算法(MCA)。目的是确定横向位置标准偏差(SDLP)是否适合评估乘坐质量。为此,我们实现了已经研究过的MCA,并比较该算法是否对SDLP有积极影响。当使用MCA时,SDLP降低,但精神负荷和骑手状态保持不变。此外,我们使用探索性形容词对作为语义差异。当使用带有此MCA的动态平台时,这些也显示出积极的趋势。本研究表明,SDLP可以作为摩托车驾驶仿真中骑行质量的客观评判标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of the Riding Performance for an Isometric Steering System with Two Platform Concepts
In this paper, we used an isometric steering system on a motorcycle riding simulator. The investigation was done for a static and dynamic platform with an already known Motion Cueing Algorithm (MCA) from the literature. The aim was to determine whether the Standard Deviation of Lateral Position (SDLP) is suitable for evaluating ride quality. For this purpose, we implemented the already investigated MCA and compare whether the algorithm has a positive effect on the SDLP. When the MCA was used, the SDLP were reduced, but the mental workload and rider state remained the same. In addition, we used exploratory adjective pairs as a semantic differential. These also showed a positive tendency when using a dynamic platform with this MCA. This study thus showed that the SDLP is suitable as an objective criterion of riding quality in motorcycle riding simulation.
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