GPS-based cycling data are increasingly available for traffic planning these days. However, the recorded data often contain more information than simply bicycle trips. GPS tracks resulting from tracking while using other modes of transport than bike or long periods at working locations while people are still tracking are only some examples. Thus, collected bicycle GPS data need to be processed adequately to use them for transportation planning. The article presents a multi-level approach towards bicycle-specific data processing. The data processing model contains different steps of processing (data filtering, smoothing, trip segmentation, transport mode recognition, driving mode detection) to finally obtain a correct data set that contains bicycle trips, only. The validation reveals a sound accuracy of the model at its’ current state (82–88%).

中文翻译：

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面对清洁自行车数据的需求– GPS数据处理的特定于自行车的方法

这些天来，越来越多的基于GPS的自行车数据可用于交通规划。但是，记录的数据通常包含的信息不只是自行车旅行。GPS航迹是在使用其他交通工具（而不是自行车）或长时间在人们仍在跟踪的工作地点长时间跟踪时产生的GPS跟踪，仅是一些示例。因此，需要对收集到的自行车GPS数据进行适当的处​​理，以将其用于运输计划。本文提出了一种针对自行车特定数据处理的多层次方法。数据处理模型包含不同的处理步骤（数据过滤，平滑，行程分段，运输模式识别，驾驶模式检测），以最终获得仅包含自行车行程的正确数据集。验证揭示了模型在其当前状态（82–88％）的声音准确性。