Data Science and Traffic Patterns

Faculty Member

Richard Sowers

Project Image

This is a continuation of some prior IGL projects. We hope to use advanced mathematics to understand the 'geometry of traffic'. We hope to continue an exploration of traffic patterns via the 'persistent homology' of congestion. Secondly, we have recently gotten access to a large amount of parking data in Seattle and San Francisco, and would like to use some low-rank factorization to understand patterns.

Solid coding ability is required. See This is a great way to get some skills in a real and important big data problem.

Team Meetings


Project Difficulty


Undergrad Prerequisites

Solid coding ability is required.