Cities worldwide are trying to increase the modal share of bicycle traffic to address traffic and carbon emission problems. Aside from safety, a key factor for this is the cycling comfort, including the surface quality of cycle paths. In this paper, we propose a novel edge-based crowdsensing method for analyzing the surface quality of bicycle paths using smartphone sensor data: Cyclists record their rides which after preprocessed on their phones before being uploaded to a private cloud backend. There, additional analysis modules aggregate data from all available rides to derive surface quality information which can then used for surface quality-aware routing and planning of infrastructure maintenance.

翻译：全球各地的城市正试图提高自行车交通的出行比例，以应对交通拥堵和碳排放问题。除安全性外，一个关键因素是骑行舒适度，包括自行车道表面质量。本文提出了一种新颖的基于边缘的众感方法，利用智能手机传感器数据分析自行车道表面质量：骑行者在其手机上进行预处理后，将骑行记录上传至私有云后端。在那里，额外的分析模块汇总所有可用骑行数据，推导出表面质量信息，进而用于考虑表面质量的路径规划及基础设施维护规划。