Investigation of the Riding Performance for an Isometric Steering System with Two Platform Concepts

Abstract: 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.

Keywords: Riding Simulation, Steering, Steering behavioral, Engineering, Motion Cueing

DOI: 10.54941/ahfe1002192

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