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Traffic Reports

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Traffic Volume Program
Maps displaying annual average daily traffic (AADT) and heavy commercial annual average daily traffic (HCAADT) as well as program information and GIS resources.


Traffic Forecasting
Maps depicting locations where truck highway traffic forecast have been completed. Maps show location, forecast number, and 20-year equivalent single axle loads.


Vehicle Classification
Breakdown of vehicle by classification. This includes maps and reports.


Automatic Traffic Recorder (ATR)
Data collected from continuous traffic counting stations located on interstates, trunk highways county state-aid highways and municipal state-aid streets at various locations throughout the state.


MnDOT Travel Demand Modeling Coordinating Committee
Meeting summaries, agendas, contact information and presentation material.


Weigh-In-Motion (WIM)
Data collected from continuous traffic counting sites located on interstates, US routes, and Minnesota routes throughout the state. These sites collect data on vehicle volume, class, speed and weight.

Traffic Reports

  • December 2011 ATR Report
    The Monthly ATR Report summarizes the most recent month's traffic volumes on selected Minnesota roads.
  • Heavy Commercial Volumes at Selected Piezo and WIM Sites (2004-2010)
    The updated Heavy Commercial Volumes report summarizes the most recent year of truck data and compares that data to previous years data at 34 heavy commercial data collection sites from 2004 and 2010. The report contains updated tables and charts and reports on the percent of Heavy Commercial Annual Average Daily Traffic (HCAADT) and Average Annual Daily Traffic (AADT).
  • Traffic Data Editing Procedures Final Report
    The Traffic Data Edit Procedures (TDEP) pooled fund study SPR-2 (182) began in 1995 when fourteen states and the Federal Highway Administration (FHWA) expressed the desire to work together to a) learn from other experts in the field who are in charge of the operation and data quality control of traffic data collection equipment, b) document and qualify existing and potential traffic data screening methods, and c) refine the list of traffic data screening methods into a logically integrated “rule base”...
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