Travel demand modeling

We have developed, adopted, maintained, and enhanced travel demand models (TDMs) to forecast traffic at metropolitan and statewide levels for more than 20 years. We have developed the capability of conducting all essential modeling activities in-house, including the adoption, calibration, validation, and application of models as well as writing and executing model scripts. We are familiar with a variety of TDM methodologies, including four-step and activity-based model.

Sophisticated Traffic Forecast Approaches

We assist clients in adopting more sophisticated traffic forecast approaches in the travel demand modeling framework, providing decision-makers with better tools. In this regard, our team has experience in complex simulations of transportation projects, which aid in studying operational efficiency, analyzing traffic impacts, and providing support for stakeholder presentations.

We have experience utilizing macroscopic, mesoscopic, microscopic, and hybrid models to perform advanced planning services for TxDOT, NTTA, CDOT, FDOT, VDOT, and others regional agencies or private sectors. We have hands-on experience in applying and developing models in TDM platforms such as CUBE Voyager, TransCAD, and VISUM and simulation platforms including TransModeler, Synchro, VISSIM, and Avenue. We also enhance our models using mobility software-as-a-service (SaaS) platforms such as StreetLight during calibration or validation steps.

Extensive Experience in Travel Demand Modeling

Our staff are well-versed in utilizing the travel demand models (TDMs) for many MPOs spanning across United States. Specifically in Texas, our staff have hands-on experience using the Texas Statewide Analysis Model (SAM) or various MPO models including Amarillo, Austin, Brownsville, El Paso, Laredo, Dallas/Fort Worth, Houston, and San Antonio in different traffic forecasting projects.