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A New Approach to Analyzing Cycling Stability Using an Inertial Measurement Unit Sensor

机译:利用惯性测量单元传感器分析自行车稳定性的新方法

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摘要

Bicycles are an environment-friendly mode of transport and are leading to more sustainable transportation systems. To increase the use of bicycles as a significant transport mode, a bicycle-friendly roadway environment should be provided. From this perspective, assessment of the roadway environment from the bicyclist viewpoint in terms of safety and comfort is of keen interest. This study explores the cycling stability associated with the roadway environment. An Inertial Measurement Unit (IMU), including an accelerometer and a gyro sensor, were used to determine the factors that influence cycling stability. The acceleration and angular velocity for each axis were obtained from the IMU, which were used to quantify the change in average acceleration of the bicycle and determine the changes in roll, pitch, and yaw of the bicycle. These movements were largely associated with cycling stability. An ordered probit model was adopted to model the relationship between the bicyclist perception and the sensor data representing stability. The estimation results demonstrated that the average angular velocity was statistically significant and affected cycling stability.
机译:自行车是一种环境友好的运输方式,并导致了更可持续的运输系统。为了增加自行车作为重要交通方式的使用,应提供自行车友好的道路环境。从这个角度出发,从骑车人的角度对道路环境进行安全性和舒适性评估非常令人感兴趣。这项研究探讨了与道路环境有关的自行车稳定性。包括加速度计和陀螺仪传感器的惯性测量单元(IMU)用于确定影响循环稳定性的因素。每个轴的加速度和角速度都从IMU获得,用于量化自行车平均加速度的变化并确定自行车的侧倾,俯仰和偏航的变化。这些运动很大程度上与自行车的稳定性有关。采用有序的概率模型来建模自行车手的知觉和代表稳定性的传感器数据之间的关系。估计结果表明,平均角速度具有统计学意义,并影响了循环稳定性。

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