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基于智能手机的非机动车道路况分析 被引量:2

Roughness assessment of non-motorized vehicle lanes based on bicycle-mounted smart phones
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摘要 目前基于汽车承载方式的路面平整度检测方法并不能普遍适用于非机动车车道的路面检测,本文提出了一种基于智能手机的非机动车道路面平整度测量方法,以目前应用人群最为广泛的共享单车为测量载体,采用智能手机内置的加速度传感器,在骑行状态下,采集路面起伏激励后的车体加速度数据,并利用手机内置的全球定位系统(GPS)测量骑行距离,进而计算出国际平整度指数(IRI)。此外,本文基于加速度数据波形对非机动车道路表面的凸起和坑洞特征进行了有效识别。实验分析表明,本文结果与专业测量模块得到的结果呈强烈正相关,是一种新型有效的道路平整度检测方法,在以汽车为承载平台的专业测量工具无法达到的非机动车道路况检测上具有重要的应用价值。 Currently available vehicle-mounted methods for measuring road surface roughness are not universally applicable for measuring the roughness of non-motorized vehicle lanes.This paper proposes a new method to measure the roughness of non-motorized vehicle lanes using smart phones equipped with acceleration sensors and global positioning system(GPS)modules.The phones are fixed on shared bicycles,a widely used means of transport in today’s cities.The trip distance and acceleration data are easily recorded.Using these data,the international roughness index(IRI)of several types of roads is calculated.The road features including bulge and pothole using the original acceleration waveform are also identified.It is experimentally demonstrated that the results obtained from the proposed method are in strong positive correlation with those measured by the technical integrated accelerometer.This method,proved to be an innovative and effective alternative to their vehicle-mounted counterparts for measuring the roughness of non-motorized vehicle lanes,is expected to have many practical applications in the future.
作者 刘俊山 詹志坤 谷林 赵玉良 黎捷 曹立强 李志方 Liu Junshan;Zhan Zhikun;Gu Lin;Zhao Yuliang;Li Jie;Cao Liqiang;Li Zhifang(School of Electrical Engineering,Yanshan University,Qinhuangdao 066004;China Railway Shanhaiguan Bridge Group Co.Ltd.,Qinhuangdao 066299;School of Control Engineering,Northeastern University,Qinhuangdao 066004;Qinhuangdao Highway Engineering Quality Supervision Station,Qinhuangdao 066000;Qinhuangdao City Highway Management Office,Qinhuangdao 066000)
出处 《高技术通讯》 EI CAS 北大核心 2019年第9期886-894,共9页 Chinese High Technology Letters
基金 国家自然科学基金(61503322,61503327)资助项目
关键词 国际平整度指数(IRI) 智能手机 非机动车车道 加速度传感器 全球定位系统(GPS) international roughness index(IRI) smart phone non-motorized vehicle lane acceleration sensor global positioning system(GPS)
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