Jan
10
10:15 am10:15

Machine Learning Is from Venus, Econometric Modeling Is from Mars (TRB Annual Meeting)

  • Walter E. Washington Convention Center

Machine Learning Is from Venus, Econometric Modeling Is from Mars: Two Different Travel Forecasting Perspectives

Session 560

Convention Center, 146B

Machine learning has evolved into a powerful and popular approach to analyzing the massive amounts of data generated by internet and other electronic activity. These approaches are now being used in travel forecasting. Please join us for a session that strives to move us toward a travel forecasting future that integrates machine learning and more typical econometric modeling.

Josie Kressner will join the panel alongside Alexei Pozdnukov (University of California, Berkeley), Eric Miller (University of Toronto), and Joel Freedman (RSG).

Sep
13
10:00 am10:00

Tools of the Trade Conference

  • Francis Marion Hotel

Josie Kressner and Leta Huntsinger, of WSP | Parsons Brinckerhoff, will present at the Tools of the Trade Conference in September. This conference is targeted to small- and medium-sized communities, and its aim is to disseminate information on the factors related to the planning, development, programming, and implementation of multi-modal transportation facilities.

Jan
10
Jan 14

TRB Annual Meeting

  • Walter E. Washington Convention Center

We will be sharing two posters this year. Stop by to learn more and ask questions. (Yes, they are in fact at the same time. That's how things go at TRB.)

Jan
11
1:30 pm13:30

TRB Workshop Panelist

  • Walter E. Washington Convention Center

Josie Kressner will be a panelist alongside John E. Abraham (HBA Specto Incorporated), Eric J. Miller (University of Toronto), and Paul Waddell (University of California, Berkeley). We hope you are able to join.

Jan
14
3:45 pm15:45

TRB's Six Minute Pitch

  • Washington Marriott Wardman Park Hotel: Salon 3

Josie Kressner will present at the Transportation Research Board's Six Minute Pitch: The Transportation Startup Challenge.