Using data analysis and interactive reporting/presentation techniques in R, Python, and Jupyter Notebooks, the team is able to relay results from analyses quickly as projects progress. The team has also developed a number of skills for visualizing origin-destination characteristics and travel patterns from passive data and roadway networks, including interactive graphics (MAG External Travel Study) and interactive 3-D maps like those shown below.

Texas A&M Transportation Institute
3135 TAMU
College Station, TX 77843-3135
(979) 317-2000