The purpose of this paper is to examine the influence of different roadway surfaces’ roughness on cyclists’ velocity choices. Could surface roughness be efficiently used for designing velocity choices according to needs in different locations? First, a survey to identify environmental conditions’ impact on cyclist velocity choices is employed. The main part analyses the speeds of 3750 cyclists, measured with a radar gun on seven different surfaces: smooth and rough asphalt, painted cycle lanes, concrete, large and small cobblestones and gravel. By utilising a smartphone's built-in accelerometer affixed to a bicycle, the three-dimensional acceleration-based roughness of the surfaces is measured over a fixed distance. The analysis of scatter plots reveals that the vertical acceleration component approximates the total acceleration best. Ultimately, a numerical integration approach is used to derive comparable vertical distance values per surface type and fork stiffness. The collected data show that the 50th and 85th percentiles of cyclist speeds are similar on all surface types: 19·4–20·7 and 23–25·5 km/h. Furthermore, the data show only a weak correlation between measured velocity and surface roughness, thus suggesting that other, unconsidered factors outweigh the influence of the road surface and point the way to future research needs.

中文翻译：

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表面粗糙度对骑车人速度选择的影响

本文的目的是研究不同路面粗糙度对骑车人速度选择的影响。是否可以根据需要在不同位置有效地使用表面粗糙度来设计速度选择？首先，要进行调查以确定环境条件对骑单车速度选择的影响。主要部分分析了3750名骑自行车者的速度，这些速度是用雷达测速仪在七个不同的表面上测量的：光滑和粗糙的沥青，涂漆的自行车道，混凝土，大小鹅卵石和砾石。通过使用固定在自行车上的智能手机内置的加速度计，可以在固定距离上测量基于三维加速度的表面粗糙度。散点图的分析表明，垂直加速度分量最接近总加速度。最终，使用数值积分方法来得出每种表面类型和货叉刚度的可比垂直距离值。收集的数据表明，在所有表面类型上，骑自行车者的速度的第50个百分点和第85个百分点相似：19·4-20·7和23-25·5 km / h。此外，数据显示测得的速度与表面粗糙度之间的相关性很弱，因此表明其他一些未考虑的因素超过了路面的影响，并为未来的研究需求指明了方向。