Learning Sessions

Taste of MoMo: Advancing Travel Models with AI, Visualization, and Practical Tools

GMNS Learning Session: Multimodal Accessibility

Taste of MoMo: Understanding Travel Behavior Through Accessibility and Emerging Trends

GMNS Learning Session

Learning Session - Long-Range Travel Demand Forecasting Under Deep Uncertainty

This session will feature insights from leading researchers and practitioners of Decision Making Under Uncertainty (DMDU) methods, followed by a Q&A session on how to integrate these approaches into mainstream practice in travel demand forecasting....

BTR6 Session 11 - Advancing Open Science (Special Session)

Learning Session - Equity in Travel Demand Modeling

This session included a panelist from MPO to demonstrate their robust methodology to conduct an equity analysis using their travel demand model, followed by panelists from academia to introduce a few topics in equity, including...

Learning Session - Big Data

This session will include a panel of experts who will discuss the Use, Challenges and Value of Big Data for Travel Models. The panelists will present practical ways to handle Big Data, including their experiences...

System dynamics for strategic planning under technological uncertainty

Organized by Hannah Rakoff and Scott Smith, U.S. DOT Volpe Center

Panel on Behavior Dynamics – The Future...Accelerated.

This session includes a series of presentations that offer new methods, data, tools, and insights to understand and model dynamics of behavior.

Learning Session – Data Workflow Tools + Tricks

Panel on the intersection of Survey and Passive Data

Data products derived from modern technology-based services such as GPS, LBS, and others offer new data dimensions, different coverages, and refined temporal resolutions. While these new data products have enabled new ways of extracting information,...

Learning Session – Introduction to ActivitySim

The ActivitySim project is a multi-agency partnership whose goal is to advance travel demand forecasting practice and cost-effectiveness through shared development of software tools and shared agency experience. The ActivitySim project has implemented an open...

Panel on Race and Gender Lenses in Modeling and Data Collection.

Equity has not been a consideration at all in transportation modeling given its focus on roadway capacity expansion. This has led to transportation modeling evolving into a field that focused on efficiency and moving people...

Learning Session – Machine Learning 101

Machine learning has been widely used in some fields, but has yet to really catch on in transport planning practice. However, research to date shows high promise for machine learning to complement existing approaches to...

Panel on industry data standards

Data standards empower collaboration and help provide the infrastructure for building community tools. The purpose of this discussion is to share and discuss data standards for our industry. The discussion will introduce standards such as:...

Prospective and retrospective views of uncertainty in travel forecasting

As real-world events and trends highlight the limits of our predictions, there is a growing recognition of the value of explicitly considering uncertainty in travel forecasting. This webinar considers contrasting approaches to considering that uncertainty....

A system dynamics perspective for transportation planning under uncertainty

Whether they call it that or not, MPOs do a lot of planning under deep uncertainty. Modelers need a quick way to look at very different scenarios. In this webinar, we’ll talk about the larger...