TRB’s National Cooperative Highway Research Program (NCHRP) Report 716: Travel Demand Forecasting: Parameters and Techniques provides guidelines on travel demand forecasting procedures and their application for helping to solve common transportation problems.

Implementing transportation improvements requires a significant effort that may involve several levels of planning; social, economic and environmental documentation; geometric and structural design; operations analysis; signalized intersection design; and/or pavement design. Accurate and timely traffic estimates and forecasts are basic to the entire transportation planning process and are essential to enable the Texas Department of Transportation (TxDOT) to effectively meet the mobility needs of the state. This guide provides an introduction to the transportation planning and travel demand forecasting requirements and establishes the policies, processes and methodologies for developing traffic forecasts for the various stages of TxDOT project development.

TRB's second Strategic Highway Research Program (SHRP 2) Report S2-C46-RR-1: Activity-Based Travel Demand Models: A Primer explores ways to inform policymakers' decisions about developing and using activity-based travel demand models to better understand how people plan and schedule their daily travel. The document is composed of two parts. The first part provides an overview of activity-based model development and application. The second part discusses issues in linking activity-based models to dynamic network assignment models.

In addition, models for optimal transportation supply decisions are integrated with the demand models. Transit travel and goods movements are specifically addressed.

TRB’s National Cooperative Highway Research Program (NCHRP) Report 716: Travel Demand Forecasting: Parameters and Techniques provides guidelines on travel demand forecasting procedures and their application for helping to solve common transportation problems.