National Institute for Transportation and Communities

The video begins at 0:27.

The video begins at 2:09.

Abstract: The ability to fully understand and accurately characterize freight route choice is one that will support freight modeling frameworks, and regional and state transportation decisions. This ability, when combined with regional and state commodity flow data, can compose an effective statewide freight modeling framework. Typically, transportation network models take a shortest path assumption for truck routing both for strategic and operational routing decisions. The goal of this research was to determining how different subgroups of shippers, carriers, and receivers make route choices, and to understand how these approaches vary across types of routing decisions. We consider route changes of both a spatial and temporal manner. This talk presents the results of a survey of over 800 shippers, carriers, and receivers in Washington State, and recommends a framework for improving the modeling of routing decisions in existing network models.

Speaker Bio: Professor Anne Goodchild has worked and studied in the transportation field for more than 15 years. Her initial experience in management consulting for transportation providers was followed by the completion of a PhD at UC Berkeley and research experience while developing the freight transportation program at the University of Washington. In addition to a BS in mathematics and an MS and PhD in Civil Engineering, Dr....

Watch video

View slides

Where: Room 204 of the Distance Learning Center Wing of the Urban Center at PSU

DASH is the next generation activity based model being developed by the Metro Research Center. Upon completion, it will be one of the most advanced in the nation. This model will be used extensively in estimating the activity and travel response of individuals to policies and infrastructure investments. Compared to past models, it will include enhanced consideration of the socio-economic roles of individuals, discrete temporal dynamics, and intra-household dependencies.

Richard Walker is the manager for the Modeling Services Division at Metro. He manages the technical elements of all programs related to travel and landuse forecasting: including data collection, model development, and model applications. In addition, Mr. Walker currently serves as the chair of the Oregon Modeling Steering Committee – a statewide entity formed to promote collaboration between Oregon modeling agencies with regard to model development activities. As a recipient of a BS degree in civil engineering from Montana State University, he has been a member of the modeling profession for over 40 years.

Watch video

View slides

Topic: Airsage cell phone data and its application in travel modeling
Summary: As part of the initial phase of development for the Idaho Statewide Travel Demand Model, Parsons Brinckerhoff developed a base year auto and truck trip matrix using AirSage cell phone OD data, a statewide network in Cube, traffic counts, and origin-destination matrix estimation (ODME) procedures. To begin, the 4000+ statewide zone system was aggregated into a 700 super zone system for collecting the cell phone OD data. Next, the cell phone data was collected for the month of September 2013 for the following market segments: Average weekday resident HBW, HBO, NHB, and visitor NHB trips. The cell phone trips were then disaggregated to zones using each zone’s share of super zone population and employment. These initial trip matrices were assigned to the daily statewide network using free flow travel time for route impedance and iteratively adjusted to minimize the difference between the estimated link volumes and traffic counts by user class.

This iterative trip matrix balancing procedure, also known as ODME, converged nicely by user class and facility type and produced reasonable flows. The resulting trip matrix trip length frequencies matched fairly well with the...