Articles | Volume 10, issue 1
https://doi.org/10.5194/ms-10-1-2019
https://doi.org/10.5194/ms-10-1-2019
Research article
 | 
07 Jan 2019
Research article |  | 07 Jan 2019

Design and hardware selection for a bicycle simulator

Georgios Dialynas, Riender Happee, and Arend L. Schwab

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Subject: Mechanisms and Robotics | Techniques and Approaches: Experiment and Best Practice
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Cited articles

Cain, S. and Perkins, N.: Comparison of a bicycle steady-state turning model to experimental data, in: Proceedings of Bicycle and Motorcycle Dynamics Conference, TU Delft, available at: http://www.bicycle.tudelft.nl/ProceedingsBMD2010/papers/cain2010comparison.pdf (last access: 3 January 2019) 2010. a
Caro, S. and Bernardi, S.: The role of various sensory cues in self-speed perception: a bicycle riding simulator preliminary study, in: Proceedings of the Driving Simulation Conference, available at: https://hal.archives-ouvertes.fr/hal-01217153 (last access: 19 November 2018), 2015. a
Cheng, K. Y., Bothman, D., and Astrom, K.: Bicycle torque sensor experiment, BSc thesis, University of California, Santa Barbara, 2003. a
De Lorenzo, D. S. and Hull, M.: Quantification of structural loading during off-road cycling, J. Biomech. Eng.-T. ASME, 121, 399–405, 1999. a
Dialynas, G., Happee, R., and Schwab, A. L.: Supplementary repository for bicycle simulator including: Data, code, pics and videos, https://doi.org/10.5281/zenodo.2525685, 2018. a
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Short summary
With the resurgence in bicycle ridership in the last decade, a better understanding of bicycle rider behavior is important in accommodating increasing bicycle traffic as well as reducing accidents that come along with it. At TU Delft we have designed a fixed-base bicycle simulator to understand how bicycle rider's interact with other road users in a safe virtual environment.