# High-Fidelity Interactive Motorcycle Driving Simulator with Motion Platform Equipped with Tension Sensors

**Authors:** Josef Svoboda, Přemysl Toman, Petr Bouchner, Stanislav Novotný, Vojtěch Thums

PMC · DOI: 10.3390/s25134237 · Sensors (Basel, Switzerland) · 2025-07-07

## TL;DR

This paper introduces a high-fidelity motorcycle simulator with motion and tension sensors to study rider interaction and improve training.

## Contribution

The novel integration of a Gough-Stewart motion platform and real-time tension sensors enhances motorcycle simulator realism.

## Key findings

- Tension sensors at four chassis points provide detailed rider interaction data during maneuvers.
- Validation experiments confirmed the simulator's responsiveness and force distribution accuracy.
- The setup supports future research in motorcycle HMI and rider behavior analysis.

## Abstract

The paper presents the innovative approach to a high-fidelity motorcycle riding simulator based on VR (Virtual Reality)-visualization, equipped with a Gough-Stewart 6-DOF (Degrees of Freedom) motion platform. Such a solution integrates a real-time tension sensor system as a source for highly realistic motion cueing control as well as the servomotor integrated into the steering system. Tension forces are measured at four points on the mock-up chassis, allowing a comprehensive analysis of rider interaction during various maneuvers. The simulator is developed to simulate realistic riding scenarios with immersive motion and visual feedback, enhanced with the simulation of external influences—headwind. This paper presents results of a validation study—pilot experiments conducted to evaluate selected riding scenarios and validate the innovative simulator setup, focusing on force distribution and system responsiveness to support further research in motorcycle HMI (Human–Machine Interaction), rider behavior, and training.

## Full-text entities

- **Diseases:** Tension (MESH:D018781)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

15 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12252496/full.md

## References

25 references — full list in the complete paper: https://tomesphere.com/paper/PMC12252496/full.md

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Source: https://tomesphere.com/paper/PMC12252496