GIS Tools to Estimate Average Annual Daily Traffic

Details

• Creators:
  Lowry, Michael ; Dixon, Michael
• Corporate Creators:
  National Institute for Advanced Transportation Technology (NIATT) (U.S.)
• Corporate Contributors:
  United States. Department of Transportation. Research and Special Programs Administration
• Subject/TRT Terms:
  • Geographic information systems
  • Annual average daily traffic
  • Multiple regression analysis AADT estimation
  • Space syntax
  • Multiple
  • regression
• Publication/ Report Number:
  KLK725;N12-03
• Resource Type:
  Tech Report
• Geographical Coverage:
  Idaho
• Edition:
  Final report; Aug. 2011-June 2012.
• Corporate Publisher:
  National Institute for Advanced Transportation Technology (NIATT) (U.S.)
• Abstract:
  This project presents five tools that were created for a geographical information system to estimate Annual Average Daily ; Traffic using linear regression. Three of the tools can be used to prepare spatial data for linear regression. One tool can be ; used to calculate a connectivity importance index for the streets of a city. The main tool can be used to conduct linear ; regression to estimate Annual Average Daily Traffic. The tools were created for ArcGIS 10 using open-source python ; scripting.
• Format:
  PDF
• Funding:
  DTRT07-G-0056
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/24942/dot_24942_DS1.pdf
• File Type:
  [PDF - 837.67 KB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:8b1b222c4128589e43685dd3d8343284cf3dbce68aa4a64b208a7dd4770ed48c56ac46b7bbced31e22c2cf5db8b8bc8f9b5f7fb1064cbfa80181c22909869a43