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
Review and Prospect of Abnormal Pavement Recognition Method Based on Vehicle Vibration Acceleration
张金喜 1聂磊 1王大为 2郭旺达1
作者信息
- 1. 北京工业大学交通工程北京市重点实验室,北京 100124
- 2. 哈尔滨工业大学交通科学与工程学院,黑龙江哈尔滨 150090
- 折叠
摘要
提升道路路面养护管理的信息化水平具有重要的经济和社会意义,首要工作是对路面状况进行快速、及时地检测和评估.对近十年来国内外利用智能手机等智能设备进行路面异常检测的研究进行了调研,并对典型研究情况进行了分析.研究结果表明:利用智能手机等智能设备识别路面异常是一种间接检测路面异常的方法,实现了利用众包数据等技术对路面异常的智能化识别,目前识别精度大多高于80％,采用机器学习等大数据的模型构建方法可将识别精度提高到90％以上.利用智能手机等智能设备识别路面异常的方法受多种因素的影响.如何建立速度、车辆和设备固定位置等的归一化、标准化处理方法,是今后该领域研究的核心内容之一.该技术为建立和形成新一代信息化、智能化的路面养护管理的新体系提供了可行的方法.
Abstract
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.
关键词
车辆振动/路面异常/识别方法/智能化/智能手机Key words
vehicle vibration/abnormal pavement/recognition method/intelligent/smartphone引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据