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Development of a Tour-Based Truck Travel Demand Model using Truck GPS Data

Development of a Tour-Based Truck Travel Demand Model using Truck GPS Data. 14 th TRB National Transportation Planning Applications Conference. May 7, 2013. Arun Kuppam.

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Development of a Tour-Based Truck Travel Demand Model using Truck GPS Data

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  1. Development of a Tour-Based Truck Travel Demand Model using Truck GPS Data 14th TRB National Transportation Planning Applications Conference May 7, 2013 Arun Kuppam co-authored by Jason Lemp, CS Dan Beagan, CS Vladimir Livshits, MAG Lavanya Vallabhaneni, MAG SreevatsaNippani, MAG

  2. Overview

  3. Commercial Vehicle GPS Data

  4. ATRI Data Specifics Heavy Trucks Large Sample of Trucks Relatively Cheap

  5. Truck GPS Data from PhoenixAll Trucks in April 2011 ATRI GPS All Truck IDsApril 2011 ATRI GPS April 2011

  6. Truck GPS Data from PhoenixOne Truck in April 2011 ATRI GPS Truck ID 3570452April 2011

  7. Truck GPS Data from PhoenixOne Truck on April 1, 2011 ATRI GPS Truck ID 3570452April 1, 2011

  8. Processing of One Truck Tour Processed Data Primary Anonymized Data

  9. Processing of One Truck Tour Processed Data Primary Anonymized Data

  10. Truck GPS Data from PhoenixProcessing of One Truck on April 1, 2011 ATRI GPS Truck ID 357402 - April 1, 2011 – Actual Stops

  11. Truck GPS Data from PhoenixTAZ of Trip Ends for One Truck on April 1, 2011

  12. Truck GPS Data from PhoenixLU of Trip Ends for One Truck on April 1, 2011 Industrial Landfill, Sand & Gravel Industrial

  13. Trip- and Tour-Based Truck Models • Truck Trip Ends (7 trips, 6 LU) • Truck Tours (2 tours, 6 LU)

  14. Truck Tour-Based Model Structure

  15. Stop Generation ModelPredicts number of stops on each truck tour Available Set of Choices Decision Making Variables Outputs = Number of stops made on tour (any value between 1 & 11)

  16. Tour Completion ModelPredicts if truck returns to home base Available Set of Choices Decision Making Variables Outputs = Tour is complete or not

  17. Stop Purpose ModelPredicts purpose of stop Available Set of Choices Decision Making Variables Outputs = One of 10 stop purpose types

  18. Stop Location ModelPredicts location TAZ of each stop Available Set of Choices Decision Making Variables Outputs = Location TAZ of each stop

  19. Stop TOD Choice ModelPredicts TOD of each stop Available Set of Choices Decision Making Variables Outputs = One of 24 hour intervals

  20. Initial Findings

  21. Next Steps

  22. Conclusions

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