Travel Demand Model 9.2.0
Current Official Release
Overview
The WFRC Travel Demand Model (TDM) version 9.2.0 is the current official release used for regional transportation planning and project evaluation. This four-step model forecasts travel demand across the Wasatch Front region through the year 2050.
Release Date: January 15, 2025 Status: Official Release Recommended For: All planning studies and project evaluations
Model Capabilities
The TDM 9.2.0 provides detailed forecasts of:
- Daily travel patterns by trip purpose and mode
- Highway traffic volumes on all major roadways
- Transit ridership by route and time period
- VMT and emissions for air quality analysis
- Accessibility measures to opportunities
- Multi-modal performance metrics
Quick Links
What’s New
Learn about the latest updates and improvements in version 9.2.0
Model Validation
Review validation results demonstrating model accuracy
Development
Explore technical documentation and component repositories
Model Structure
The TDM follows a traditional four-step modeling framework:
Trip Generation: Predicts the number of trips produced by and attracted to each Transportation Analysis Zone (TAZ)
Trip Distribution: Determines where trips will go using gravity model principles with calibrated friction factors
Mode Choice: Estimates the share of trips by each travel mode (auto, transit, walk, bike) based on level-of-service and traveler characteristics
Traffic Assignment: Loads vehicle trips onto the highway network and transit trips onto the transit network using equilibrium assignment procedures
Model Geography
- Model Area: Wasatch Front region including Salt Lake, Davis, Weber, and parts of Utah, Tooele, Box Elder, and Morgan counties
- TAZs: 3,847 Transportation Analysis Zones
- Highway Network: ~45,000 directional links covering freeways, arterials, and major collectors
- Transit Network: All UTA fixed-route services plus commuter rail
Key Improvements in 9.2.0
Network Enhancements
Updated highway and transit networks to reflect projects completed through 2024, including major capacity improvements and new transit services.
Socioeconomic Data
Incorporated latest demographic data and employment estimates coordinated with REMM forecasts.
Accessibility Metrics
New accessibility to opportunity measures for jobs, education, healthcare, and recreation by travel mode and time threshold.
Validation
Enhanced validation using recent data sources including StreetLight Origin-Destination data, RITIS speed data, and UTA ridership statistics.
Technical Specifications
- Software Platform: Cube Voyager 7.0
- Base Year: 2019
- Forecast Years: 2030, 2040, 2050
- Time Periods: AM Peak (6-9 AM), Midday (9 AM-3 PM), PM Peak (3-7 PM), Night (7 PM-6 AM)
- Trip Purposes: Home-Based Work, Home-Based School, Home-Based Shop, Home-Based Other, Non-Home-Based
- Vehicle Classes: SOV, HOV2, HOV3+, Light Trucks, Medium Trucks, Heavy Trucks
- Transit Modes: Local Bus, Express Bus, BRT, Light Rail, Commuter Rail
Model Application
The TDM 9.2.0 is used for:
- Regional Transportation Plan (RTP) development and evaluation
- Transportation Improvement Program (TIP) project prioritization
- Corridor and subarea planning studies
- Project-level traffic forecasting
- Air quality conformity analysis
- Title VI equity analysis
- Alternatives analysis for major investments
Documentation
- Model Process Report - Comprehensive technical documentation (in development)
- Validation Report - Detailed validation results
- User Guide - Instructions for running the model (coming soon)
Model Runs and Support
For assistance with model runs or technical questions:
- Contact the WFRC Analytics Team
- Submit an issue on GitHub
- Email: analytics@wfrc.org (update with actual email)
Version History
- 9.2.0 (January 2025) - Current official release
- 9.1.0 (June 2024) - Previous release
- 9.0.0 (January 2024) - Major update with new mode choice model
Looking Ahead
Development is underway on TDM 10.0.0, which will include:
- Activity-based modeling framework
- Enhanced bike and pedestrian demand modeling
- Dynamic traffic assignment capabilities
- Integration with REMM at finer geographic resolution