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Madison County Travel Demand Model

Madison County Travel Demand Model. Challenges and Innovations Diane B. Zimmerman, PE. Location Map. Madison County . Base Year 2000 2000 Population = 70,872 2000 Employment = 36,200 Future Year 2025 2025 Population =105,000 2025 Employment = 57,000. TAZ Map.

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Madison County Travel Demand Model

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  1. Madison County Travel Demand Model Challenges and Innovations Diane B. Zimmerman, PE

  2. Location Map

  3. Madison County • Base Year 2000 • 2000 Population = 70,872 • 2000 Employment = 36,200 • Future Year 2025 • 2025 Population =105,000 • 2025 Employment = 57,000

  4. TAZ Map • Combined the areas from the previous Richmond and Berea Models • 176 Internal Zones • 16 External Stations

  5. Richmond and Berea

  6. Highway Network • Imported from KY GIS coverage the Traffic Flow layer • Added the Federal Functional Class Layer • Added the Local Layer • Traced Interstates and ramps from the DOQQ

  7. Highway Network • Coded signal locations • Coded g/c ratios from sketch planning of signal timing • Capacity was computed link by link rather than by area/facility by TransCAD using procedures from NCHRP • Default properties were by area, then location specific data was added

  8. Trip Generation • Population Data from Census Block data • Employment Data from Employment Services, supplemented by phone calls to non-profit organizations and missing employers • NCHRP 365 procedures were used • E-I trips were converted to Productions at the External stations and Attractions to Internal zones • Student Trip rates were initially taken from the Lexington study and increased during calibration • A separate trip rate was used for Urban and Rural zones to reflect trip chaining in the urban areas

  9. Challenges • Two distinct small urban areas • Two Universities – Eastern Kentucky University and Berea College • Interstate 75 • Army munitions base • Major improvement to KY 52 west • New interchange on I-75

  10. Innovations • User Interface • Allows user to exactly replicate run made by JJG, similar to the MINUTP 00.bat file • Changes are made to the GISDK code or to the input files

  11. User Interface

  12. Calibration Results • Overall RMSE = 26.0% • VMT Difference = -0.9% • Urban -5.3% • Rural 2.8%

  13. RMSE Comparison

  14. VMT Comparison

  15. Special Thanks to Nick Uhren for all his work!

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