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:
  Annual Average Daily Traffic Geographic Information Systems Multiple Multiple Regression Analysis AADT Estimation Regression Space Syntax
• 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
• Collection(s):
  University Transportation Centers US Transportation Collection
• Main Document Checksum:
  urn:sha-512:8b1b222c4128589e43685dd3d8343284cf3dbce68aa4a64b208a7dd4770ed48c56ac46b7bbced31e22c2cf5db8b8bc8f9b5f7fb1064cbfa80181c22909869a43
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/24942/dot_24942_DS1.pdf
• File Type:
  [PDF - 837.67 KB ]