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Truck GPS Data for Freight Performance Analysis

About the study

"Using Truck Global Positioning System (GPS) Data for Freight Performance Analysis" integrates private and public freight data sources to generate freight mobility and reliability measures.

It identifies significant data impediments in the Twin Cities Metro and selected rural corridors.

Study benefits

Supports improvements in freight traffic management and planning
Complements existing freight/truck models
Guides regional or statewide transportation decision-making of infrastructure development and investment

Contact

MnDOT Project Manager
John Tompkins
651-366-3724
John.Tompkins@state.mn.us

University of Minnesota Researcher
Chen-Fu Liao
612-626-1697
cliao@umn.edu

Connect with us

Read the report

Final report

See the presentation

Using Truck GPS Data for Freight Performance Analysis in the Twin Cities Metro Area (PDF)

See completed tasks

Task 1: Literature Review (PDF)
Task 2: Data Request Summary (PDF)
Task 3: Data and Performance Measures (PDF)
Task 4: Process and Analyze Available ATR, WIM and Loop Detector Data (PDF)
Task 5: Identify freight node, freight-significant corridor and congestion (PDF)

Project team

John Tompkins , MnDOT
Chen-Fu Liao, University of Minnesota
Dan Murray, American Transportation Research Institute
Steve Elmer, Metropolitan Council
Bruce Holdhusen, MnDOT
Jason Junge, MnDOT
Jesse Larson, MnDOT
Molly McCartney, MnDOT
Shannon McGrath, MnDOT
Mark Nelson, MnDOT
Matthew Pahs, MnDOT