Hi y'all! I'm a transportation engineer with an atypical background. I have studied traffic flow and travel demand modeling extensively at The University of Texas at Austin. I also have a background in computer science and mathematical optimization, receiving degrees in both from The University of Alabama. Roll Tide Roll and Hook 'Em Horns!
I'm actively researching the usage of travel demand forecasting models in reinforcement learning-based adaptive traffic signal control schemas, and I have a goal of creating reliable, equitable, and efficient traffic management systems. I have spent much of my time developing the free-and-open-source urban transportation modeling software wrap. It's written in Java and includes a growing suite of tools to perform travel demand modeling. This includes basic structures for traditional four-step modeling as well as extensions for multi-modal modeling and multiple value-of-time classifications. The origins of wrap, and to this day one of its key features, are found in an efficient static traffic assignment module based on Dial's Algorithm B.
Originally from Huntsville, Alabama, I am currently based in Austin, Texas and am pursuing my Ph.D. in transportation engineering at UT. My dissertation work focuses on utilizing machine learning coupled with both ITS technological advancements and travel demand forecasting models to improve transportation systems operations through adaptive tolling, signal timing, and other traffic management techniques.