利用探针自行车可视化方法分析骑车人的控制行为

R. Takahashi, Kazuki Miki, S. Kaneda
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引用次数: 2

摘要

自行车在我们的日常生活中是一种有用的交通工具,它需要一些特有的技术,比如匀速转向控制。由于自行车像汽车一样常用,分析它们的运行状况是必要的。然而,以前很少有研究成功地设计出一种低成本的方法来分析运行状态。在目前的研究中,我们提出了一个更合理的模型,使用二维(2-D)图的自行车控制行为的可视化。该模型分为四个步骤:1)从自行车上获取传感器信息;2)利用自行车方程计算前后轮运动轨迹;3)导出旋转中心;4)提取二维图。因此,可以直观地预测:(1)骑手通过前轮的曲率、中心和轨迹控制,(2)后轮的实际行为和质量。由于需要精确的速度、转向角度和车身倾角来计算运动轨迹,我们设计了一种特殊的探头自行车,可以直接获得这些参数。通过使用该探针自行车,澄清了四个要点。1)在转弯时,骑车人设定一个目标转弯中心,即转弯中心。2)自行车直线行驶时出现i型旋转中心轨迹,转弯时出现v型旋转中心轨迹。3)前后轮曲率中心的分布趋势差异较大。4)通过分布趋势来评价轮作质量。二维图使我们能够像x射线一样观察骑手的控制质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualization Method Using Probe Bicycle to Analyze Bicycle Rider’s Control Behavior
A bicycle is a useful vehicle in our daily lives, and requires characteristic techniques such as steering control at a constant speed. Since bicycles are commonly used like cars, analyzing their operating condition is essential. Nevertheless, there is little previous research that has succeeded in designing a low-cost method to analyze the operating condition. In the current study, we present a more reasonable model of the visualization of bicycle control behavior using two-dimensional (2-D) plots. In the model, four steps are taken: 1) acquire sensor information from the bicycle, 2) calculate the movement trajectory of the front and rear wheels using the bicycle equations, 3) derive the rotation center, and 4) extract the 2-D plots. As a result, it was possible to visually anticipate 1) a rider's control from the curvature center and trajectory of the front-wheel and 2) the actual behavior and its quality from the rear-wheel. Since it requires accurate speed, steering angle, and body tilt angle to calculate the movement trajectory, we designed a special probe bicycle that could directly obtain these parameters. By using this probe bicycle, four points were clarified. 1) At turning, the bicycle rider sets a target turning center, which is the center of turning. 2) An I-shaped rotation center trajectory appears when the bicycle is going straight, and a V-shaped rotation center locus appears when turning. 3) The distribution trend of the curvature center differs greatly between the front and rear wheels. 4) The quality of turn can be evaluated by the distribution trend. The 2-D plots enabled us to observe the quality of the rider's control like an X-ray.
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