A remote sensing and GIS-enabled highway asset management system : final report.

Details

• Creators:
  Tsai, Yichang (James) ; Wang, Zhaohua
• Corporate Creators:
  Georgia Institute of Technology
• Corporate Contributors:
  Georgia. Dept. of Transportation. Office of Research ; United States. Federal Highway Administration
• Subject/TRT Terms:
  • Asset management
  • Case studies
  • Data collection
  • Flaw detection
  • Geographic information systems
  • Global Positioning System
  • Image processing
  • Laser radar
  • Pavement cracking
  • Pavement maintenance
  More +
• Publication/ Report Number:
  GA-15-1008
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States;Georgia
• Edition:
  Final report
• Corporate Publisher:
  Georgia. Dept. of Transportation. Office of Research
• Abstract:
  The objective of this project is to validate the use of commercial remote sensing and spatial information ; (CRS&SI) technologies, including emerging 3D line laser imaging technology, mobile LiDAR, image ; processing algorithms, and GPS/GIS technologies, to improve the transportation asset data collection, ; condition assessment, and management. Traffic sign asset and pavement asset were used for validation. For ; sign asset, an enhanced procedure for sign inventory was proposed; a large-scale case study was conducted on ; I-285; a preliminary study has been done to evaluate sign retroreflectivity using mobile LiDAR; and a ; prototype GIS-based sign management system was developed. The research results show that using the ; automatic image-processing-based sign detection and recognition algorithms and the LiDAR-based sign ; detection can improve the current time-consuming image-based traffic sign data collection process. For ; pavement asset, comprehensive validation has been done on network-level rutting measurement and isolated ; rutting detection; an innovative method was developed to evaluate the performance of an automatic crack ; detection algorithm; comprehensive lab and field tests have been done to validate the capability of 3D laser ; data for asphalt pavement crack detection; and a crack propagation study has also been done using the long-term ; monitoring data. Based on the research results, conclusions were made and recommendations were ; suggested.
  More +
• Format:
  PDF
• Funding:
  RP 10-08
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/31105/dot_31105_DS1.pdf
• File Type:
  [PDF - 43.30 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:d38ffc6cfa6560cc12122f476b7a23dfc12e185c9ad6d77a10abace9c84854d6e329baec2c735396773393637ffcce7f3153e74b86fd5a30db53e0481604369d