智慧交通背景下的路面异常“智能巡逻”研究——基于众包与DTW视角

Research on Intelligent Patrol of Road Surface Abnormality under the Background of Intelligent Transportation——From Perspective of Crowd-sourcing and DTW Technology

智慧交通是交通数字化向智慧化发展的必然趋势。"十三五"以来,我国更加重视智慧交通建设和发展。通过对国内外智慧交通研究梳理发现,目前国外大多是基于机器学习角度检测路面异常状况,而我国道路异常现象检测仍是一个研究缺口。为此,基于智慧交通背景,提出一种基于众包和DTW技术的道路状况检测模型(智能巡逻)。实验表明,该模型比以往的异常路面检测方法更有效,为我国未来道路检测和交通智慧化研究提供了一种新的视角和工具。

Intelligent transportation is the inevitable trend of transportation digital development.Since the 13 th plan,government paid more attention to construction and development of intelligent transportation.Literature review showed that,foreign research on surface abnormalities detection mainly from machine learning perspective,but there are few related studies in China.Against the background of intelligent transportation,proposed a road condition monitoring model based on crowdsourcing and DTW technology.This Monitoring model is more effective,It provides a new perspective for future road detection and traffic intelligence research in China.