National Institute for Transportation and Communities

Conventional four-step travel demand modeling is overdue for a major update. The latest NITC report from the University of Utah offers planners better predictive accuracy through an improved model, allowing for much greater sensitivity to new variables that affect travel behavior. Specifically, it accounts for varying rates of vehicle ownership, intrazonal travel, and multimodal mode choices. Used by nearly all metropolitan planning organizations (MPOs), state departments of transportation... Read More

A previous NITC grant (#985 Dynamic Evaluation of Transportation Structures with iPod-Based Data Acquisition) supported education and research development at Oregon Tech in the area of mobile devices in sensor network applications to evaluate transportation structures via dynamic parameters like natural frequency and damping ratio. The goal of the previous grant was to determine the feasibility of using mobile devices in structural health monitoring applications and to build an educational mo... Read More