CRSM: a practical crowdsourcing-based road surface monitoring system

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• 作者：Kongyang Chen ; Guang Tan ; Mingming Lu ; Jie Wu
• 关键词：Road surface monitoring ; Pothole detection ; Gaussian mixture model ; Road surface roughness
• 刊名：Wireless Networks
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：22
• 期：3
• 页码：765-779
• 全文大小：1,894 KB
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• 作者单位：Kongyang Chen (1) (2)
  Guang Tan (1)
  Mingming Lu (3)
  Jie Wu (4)
  
  1. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
  2. Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, 518055, China
  3. Central South University, Changsha, 410083, China
  4. Temple University, Philadelphia, PA, 19122, USA
  
• 刊物类别：Computer Science
• 刊物主题：Computer Communication Networks
  Electronic and Computer Engineering
  Business Information Systems
  
• 出版者：Springer Netherlands
• ISSN：1572-8196

文摘

Detecting road potholes and road roughness levels is key to road condition monitoring, which impacts transport safety and driving comfort. We propose a crowdsourcing-based road surface monitoring system, simply called CRSM. CRSM can effectively detect road potholes and evaluate road roughness levels using hardware modules mounted on distributed vehicles. These modules use low-end accelerometers and GPS devices to obtain vibration patterns, locations, and vehicle velocities. Considering the high cost of onboard storage and wireless transmission, a novel light-weight data mining algorithm is proposed to detect road surface events and transmit potential pothole information to a central server. The central server gathers reports from multiple vehicles, and makes a comprehensive evaluation on road surface quality. We have implemented a product-quality system, and have deployed it on 100 taxies in the Shenzhen urban area. The results show that CRSM can detect road potholes with 90 % accuracy, with nearly zero false alarms. CRSM can also evaluate road roughness levels correctly, even with some interferences from small bumps or potholes.