Weigh-in-Motion Data Checking and Imputation

Details

• Creators:
  Wei, Ting ; Fricker, Jon D.
• Corporate Creators:
  Purdue University. Joint Transportation Research Program
• Corporate Contributors:
  Indiana Department of Transportation ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Weigh in motion
  • Data quality
  • Data analysis
  • Vehicle classification
  • Traffic volume
  • Procedures
  • Axle loads
  • imputation
• Publication/ Report Number:
  FHWA/IN/JTRP-2003/16
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Indiana
• Edition:
  Final Report
• Corporate Publisher:
  Indiana Department of Transportation
• Abstract:
  There are about 46 weigh-in-motion (WIM) stations in Indiana. When operating properly, they provide valuable information on traffic volumes, vehicle classifications, and axle weights. Because there are great amounts of WIM data collected every day, the quality of these data should be monitored without further delay. The first objective of this study is to develop effective and efficient methods to identify missing or erroneous WIM data. The second objective is to develop a data imputation method to update the missing or erroneous data. This report describes the WIM data checking process on both a monthly and a daily basis. The Weigh-In-Motion Daily Data Checking (WDDC) program is introduced. The whole procedure requires very little human intervention and provides a convenient way to check daily summary data. This report also describes several imputation methods in the experiment of inputting 7-day data.
• Format:
  PDF
• Funding:
  SPR-2470
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/90217/dot_90217_DS1.pdf
• File Type:
  [PDF - 734.65 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:a5e5c65b2dd6935adaa5e9aeb42bdb6a7bcea99e06f536c4b5eab956f55bf60cd5d337976bf53baca5ecab01fdfe15c73543e83abe7ce2e43e26bd7d4589c0b2