Travel Demand Modeling for Planners. Matt Grabau & Mike Davis Urban Transportation Planners
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1 Travel Demand Modeling for Planners Matt Grabau & Mike Davis Urban Transportation Planners
2 GBNRTC s s Models - 4-Step Regional Model - Activity-based Model - Mesoscopic / Microscopic Model
3 Model Characteristics Regional Model Activity-Based Model Meso/Micro Model Regional-level Analysis Regional & Corridor-level Analysis Corridor & Intersectiondetailed analysis Long Term Forecasting Hour-specific forecasting TAZ network broken down into smaller sub zones Large-scale network, limited detail Not Operation Specific Traditional 4-step modeling Activity Point Locations Microsimulation capabilities Real-time simulation Vehicle movements Dynamic Traffic Assignment
4 Tiered Modeling Process 4-Step Regional Model Activity-Based Model Meso/Micro Model
5 GBNRTC s s Regional Model - 4 step travel demand model - TransCAD - Erie & Niagara Counties - Niagara Peninsula of Ontario, Canada Transportation Analysis Zones (TAZs) - Data Needs - Household Travel Survey - Census - Traffic counts - Transit Data - Truck Data
6 GBNRTC s s Regional Model TransCAD Network
7 GBNRTC s s Regional Model - TAZ Network Zones
8 GBNRTC s s Regional Model Transit Network (NFTA)
9 Useful Outputs from TDM - VMT/VHT - Traffic Volumes (Peak Period/Peak Hour/ADT) - Select Link Analysis - Shortest Path Analysis - Change in volumes by scenario or year - Use for Air Quality Conformity Analysis
10 Useful Outputs from TDM VMT & VHT Extracted from Model
11 Useful Outputs from TDM Modeled Link Volumes
12 Useful Outputs from TDM
13 Useful Outputs from TDM
14 Useful Outputs from TDM
15 Useful Outputs from TDM UB 2020 Master Plan
16 Useful Outputs from TDM UB 2020 Master Plan
17 Useful Outputs from TDM UB 2020 Master Plan
18 Useful Outputs from TDM Impact on network due to UB s investment in region Depicting increase in ADT
19 Useful Outputs from TDM Impact to ADT due to UB s investment in region Area ideal for Meso Network, further network refinements and microsimulation
20 GBNRTC s s Activity Model - TRANSIMS software (Los Alamos, Argon, FHWA) - Buffalo-Niagara Pilot Study (Volpe, FHWA) - Erie & Niagara Counties - Niagara Peninsula of Ontario, Canada - 18,136 activity locations - Sub-area analysis capabilities - Microsimulator - Data Needs - Same as 4-step + - Sensitive to time-of-day traffic counts - Street-level detail (signals, lane configuration, driveways, etc.)
21 Activity Locations Loading trips on to network: TDM vs. Activity Model Node Centroid Centroid Connector Links Travel Demand Model Network Activity Model Network Activity Location Driveway
22 Useful Outputs from Activity Model - Buffalo-Niagara TRANSIMS Pilot Study - Queues at bridges - Toll barriers / Border crossings - Can it be modeled/visualized?
23 Activity Model Simulation - Queuing at Lewiston/Queenston Bridge L/Q Bridge Queuing of cars/trucks U.S. Customs Plaza
24 GBNRTC s s Meso/Micro Model
25 GBNRTC s s Meso/Micro Model Portion of network extracted from TDM for Mesoscopic Network
26
27 Scajaquada Project Study Area TransModeler
28 Scajaquada Microsimulation Project
29 Outer Harbor Project Study Area TransModeler
30 Outer Harbor Microsimulation Project SIMULATION
31 Individual Intersection Analysis
32 Origins & Destinations within Microsimulation Limits
33 3D Simulation Projects 3D
34 Things to Remember Know what you want to do What do you want to test? How is your project defined? Understand what your output will be Traditional output LOS is not always apparent in advanced simulation networks Demographics drives traffic Double check your forecasts Quality traffic data is essential! Understand future networks how/why are they different? TIP vs. LRP? May need to develop new scenarios Always document your assumptions Everyone needs to be on board with your assumptions
35 Comments? Questions? Matt Grabau Urban Transportation Planner x.323 Mike Davis Urban Transportation Planner x.313 Greater Buffalo Niagara Regional Transportation Council 438 Main St, Suite 503 Buffalo, NY 14202
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