基于车辆振动加速度的路面异常识别方法研究综述与展望OA

It is of great economic and social significance to improve the informatization level of road pavement mainte-nance and management.Firstly,the rapid and timely detection and assessment of the condition of the pavement was carried out.The research on abnormal pavement detection by smartphones and other smart devices in the past decade were studied at home and abroad and typical research situations were analyzed.The research results show that using smart devices such as smartphones to identify road surface anomalies is an indirect method for detecting road surface anomalies,which can realize the intelligent identification by crowd-sourcing data and other technologies.At present,the recognition accuracy is mostly above 80％.The building model methods by big data of machine learning can increase the recognition accuracy to over 90％.The identification method is affected by various factors.How to establish a normalized and standardized processing method for speeds,vehicles,and fixed positions of devices will be one of the core contents in this field in future.This technology provides a feasible method for establishing and forming a new system of informationization and intelligent pavement maintenance management.