Data underlying the publication: Bicycle Travel Time Estimation via Dual Graph-Based Neural Networks

This dataset is used for travel time estimation as described in the paper <em>“Bicycle Travel Time Estimation via Dual Graph-Based Neural Networks.”</em> It is derived from the <strong>SimRa</strong> dataset, which a crowdsourced German bicycle dataset collected via a mobile app between <strong>June 2019 and January 2025</strong>. Our study focuses on the <strong>Berlin urban area</strong>, where we <strong>map-matched</strong> the GPS trajectories, <strong>excluded trips</strong> with fewer than three non-static GPS records, and <strong>removed data points</strong> with zero or negative speeds.

本数据集用于出行时间估计，相关研究细节刊载于论文《基于双图神经网络的自行车出行时间估计》（*Bicycle Travel Time Estimation via Dual Graph-Based Neural Networks*）。本数据集源自**SimRa**数据集——该数据集是2019年6月至2025年1月期间通过移动应用众包采集的德国自行车出行数据集。我们的研究聚焦于**柏林城市区域**，在此区域内对GPS轨迹完成了**地图匹配（map-matched）**操作，剔除了非静态GPS记录不足3条的出行行程，并移除了速度为零或负值的数据点。