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APPLICATIONS OF STATEWIDE TRAVEL FORECASTING MODEL Eric Songer URS Corporation Michael Doherty URS Corporation APPLICATIONS OF STATEWIDE TRAVEL FORECASTING MODEL Eric Songer URS Corporation Michael Doherty URS Corporation James Fennessy Associates

Presentation Outline § Turnpike State Model § Overview § Validation Results § Applications § Presentation Outline § Turnpike State Model § Overview § Validation Results § Applications § Heartland Forecast § Grid Analysis § Reverse Engineering § Questions

Turnpike State Model § GIS Database § Built from scratch to ensure consistency among Turnpike State Model § GIS Database § Built from scratch to ensure consistency among all components § Simplified travel demand model structure with integrated land use model § Two way GIS to TRANPLAN interface § Landuse allocation interface capability § Produces vehicle forecasts (AADT)

Model Network § Built from GDT/ Tele. Atlas network, FDOT RCI § 2004 base Model Network § Built from GDT/ Tele. Atlas network, FDOT RCI § 2004 base network § 500, 000 arcs § 124, 500 links § 2015 network § Florida DOT work plan: 2, 000 additional links § Includes 11, 800 FDOT RCI traffic count stations

Zone System § Automatically generated from network § Total of 29, 395 zones § Zone System § Automatically generated from network § Total of 29, 395 zones § 4, 837 internal § 37 external § 23, 086 for nondevelopable areas (e. g. lakes)

Model Validation Matrix-estimated trip lengths are very close to NHTS Florida distribution Model matches Model Validation Matrix-estimated trip lengths are very close to NHTS Florida distribution Model matches the 11, 800 counts very closely, in part due to substantial network data cleaning effort

Summary and Conclusions § FL TSM v. 1. 0 completed in 2006 § Use Summary and Conclusions § FL TSM v. 1. 0 completed in 2006 § Use of GIS database significantly facilitates model development and maintenance efforts § Simplified initial travel demand modeling approach supports focus on critical data quality and maintenance issues § Having reliable network data supports incremental enhancements of the travel demand models over time for toll forecasting analysis

Heartland Example § Evaluated both East-West and North-South Corridors § Automated alignment based on Heartland Example § Evaluated both East-West and North-South Corridors § Automated alignment based on avoidance § Smoothed to engineering curves § Database updated § Performed toll forecasting analysis § Performed “reversed engineering” analysis

Heartland Alignments Heartland Alignments

Heartland Analysis § East – West § 2 alternatives § Not moving forward at Heartland Analysis § East – West § 2 alternatives § Not moving forward at this time § North – South § 2 alternatives § Corridor identified for review § North of SR 60

Heartland Project – Reverse Engineering § Calculate Number of trips necessary to generate revenue Heartland Project – Reverse Engineering § Calculate Number of trips necessary to generate revenue necessary to bond toll facility § Use Matrix Estimation to generate trip table necessary to satisfy the necessary volume § Calculate additional needed socio-economic and employment per zone § Use GIS to display population and employment change

TSM Application – Grid Analysis § 2035 Landuse projections § 2015 Network § GIS TSM Application – Grid Analysis § 2035 Landuse projections § 2015 Network § GIS database available in 5 year increments

Nine New Corridors Nine New Corridors

What is Grid Analysis § One Mile Grid § Entire State § Cut-line analysis What is Grid Analysis § One Mile Grid § Entire State § Cut-line analysis § Sum of Volume, Capacity § Calculates §V/C §Lane by facility type

Grid Analysis §Shows where supply is not meeting demand §Pattern helps define corridors §V/C Grid Analysis §Shows where supply is not meeting demand §Pattern helps define corridors §V/C §Red > 1 §Orange > 0. 85 §Green > 0. 65 §Grey >. 5

Grid Analysis Results 2035 land use with 2015 network 2035 V/C >. 85 Grid Analysis Results 2035 land use with 2015 network 2035 V/C >. 85

Grid Analysis & Corridors Grid Analysis & Corridors

Orange – Duval AADT (millions) 35. 2 Capacity (millions) 50. 5 Volume / Capacity Orange – Duval AADT (millions) 35. 2 Capacity (millions) 50. 5 Volume / Capacity 0. 70 New Capacity (Lane miles) Limited Access 9 Primary Arterials 27 Secondary Arterials 40 Collectors 70 Total 146

State V/C Results 2035 land use with 2015 network State V/C Results 2035 land use with 2015 network

Summary and Conclusions § TSM has complemented other tools available to Florida’s Turnpike Enterprise Summary and Conclusions § TSM has complemented other tools available to Florida’s Turnpike Enterprise for toll forecasting analysis applications § Future enhancements include: § Toll mode choice model § Truck volume forecasting § Continuing TSM database maintenance and update

Questions? Questions?