Description of a model based bicycle simulator

Conference Paper (2017)
Author(s)

O.Z.A. Lee (TU Delft - Biomechatronics & Human-Machine Control)

Georgios Dialynas (TU Delft - Biomechatronics & Human-Machine Control)

JCF de Winter (TU Delft - Biomechatronics & Human-Machine Control)

R. Happee (TU Delft - Intelligent Vehicles)

Arend Schwab (TU Delft - Biomechatronics & Human-Machine Control)

Research Group
Biomechatronics & Human-Machine Control
Copyright
© 2017 O.Z.A. Lee, G. Dialynas, J.C.F. de Winter, R. Happee, A.L. Schwab
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Publication Year
2017
Language
English
Copyright
© 2017 O.Z.A. Lee, G. Dialynas, J.C.F. de Winter, R. Happee, A.L. Schwab
Research Group
Biomechatronics & Human-Machine Control
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Abstract

Recent years have seen an increase in cycling as a transport mode in urban centers. This has spurred an interest in the use of bicycle simulators to study cyclist behavior [1, 2, 3, 4]. However, few implement a model based approach that couples the bicycle roll and steer in a realistic manner [5]. Balancing is a key task in cycling and we aimed to develop a simulator that allows us to study the effect of balance on the rider’s higher level cognitive decisions.