Automatic bicycle balance assistance reduces probability of falling at low speeds when subjected to handlebar perturbations

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Authors: Marten Haitjema, Leila Alizadehsaravi, Jason K. Moore
Cited by: 0
References: 12

Abstract

Uncontrolled bicycles are generally unstable at low speeds. We add an automatically controlled steering motor to a consumer electric bicycle that stabilizes the riderless bicycle down to just below 4 km h −1 to assist a rider in balancing the vehicle. We hypothesize that a such a stabilized bicycle will reduce the probability of falling. To test the system’s possible assistance during falls, we applied varying magnitude external handlebar perturbations to twenty-six participants who rode on a treadmill with the balance assist system both activated and deactivated. We show that the probability of recovering from a handlebar perturbation significantly increases when the balance assist is activated at a travel speed of 6 km h −1 . This positive effect is most prominent at and around the individual riders’ perturbation resistance threshold. We conclude that use of a balance assist system in real world bicycling can reduce the number of falls that occur near riders’ control authority limits.

Fields of Study & Subjects

Balance Gait and Falls Prevention Vehicle Dynamics and Control Systems Control and Dynamics of Mobile Robots

Publication details

Journal / source
IATSS Research
Volume
50
Issue
1
Pages
701–711
Publication date
6 February 2026
Language
EN