Visualizing Travel Patterns Using Passive Data

TTI’s Travel Survey and Passive Data research team has developed a number of methods for visualizing travel patterns, focusing on telling the story of where travel is coming from, where it is going and how it is getting there.

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.