This webinar is intended for modelers who are looking for a basic introduction to DTA concepts.
This session introduces the concept and characteristics of dynamic traffic assignment and discusses how DTA offers an opportunity to supplement macroscopic travel demand model and microscopic traffic simulation model to address a variety of modeling challenges.
Dr. Michael Mahut obtained his Ph.D. in Operations Research from the University of Montreal. Since joining INRO he has been the lead researcher behind the Dynameq DTA software package. He has also participated in numerous consulting projects involving DTA, where he mainly specializes in calibrating DTA models.
S. Travis Waller is an Associate Professor and the Phil M. Ferguson Teaching Fellow in the Department of Civil, Architectural and Environmental Engineering at the University of Texas at Austin. Dr. Waller received his Ph.D. and M.S. degrees from Northwestern University in Industrial Engineering and Management Science and his B.S. in Electrical Engineering from The Ohio State University. His primary areas of research are in transportation network modeling, dynamic traffic assignment, stochastic shortest path algorithms, and traffic simulation.
This webinar is the equivalent of two (2) professional development hours (PDHs). TMIP does not issue certificates of attendance. If you attend the webinar, please save the information on this page for your files.
A complete recording of this webinar is available.
We are no longer accepting registrations at this time.
TMIP webinars provide a forum for sharing information on topics of interest to practitioners and researchers in the transportation modeling community. These presentations do not constitute an endorsement, recommendation or specification by FHWA. Neither the content of the webinars nor the webinars themselves represent the opinions of the FHWA. Presenters are solely responsible for the content of their own presentations.
| Attachment | Size |
|---|---|
| Travis Waller presentation (PDF) | 3.32 MB |
| Michael Mahut presentation (PDF) | 1.4 MB |
| Q&A Session | 110.1 KB |