Pavement-surface characteristics should be considered during road maintenance for safe and comfortable driving. A detailed and up-to-date report of road-pavement network conditions is required to optimize a maintenance plan. However, manual road inspection methods, such as periodic visual surveys, are time-consuming and expensive. A common technology used to address this issue is SmartRoadSense, a collaborative system for the automatic detection of road-surface characteristics using Global Positioning System receivers and triaxial accelerometers contained in mobile devices. In this study, the results of the SmartRoadSense surveys conducted on Provincial Road 2 (SP2) in Salerno, Italy, were compared with the Distress Cadastre data for the same province and the pavement condition indices of different sections of the SP2. Although the effectiveness of the crowdsensing-based SmartRoadSense was found to vary with the distress type, the system was confirmed to be very efficient for monitoring the most critical road failures.

道路养护过程中应考虑路面特性，以确保安全舒适的驾驶。需要详细且最新的道路路面网络状况报告以优化维护计划。但是，人工道路检查方法（例如定期的目视检查）既费时又昂贵。解决此问题的常用技术是SmartRoadSense，这是一个协作系统，可使用移动设备中包含的全球定位系统接收器和三轴加速度计自动检测路面特征。在这项研究中，将在意大利萨勒诺的省道2（SP2）上进行的SmartRoadSense调查结果与同一省的遇险地籍数据和SP2不同断面的路面状况指数进行了比较。