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 http://publish.illinois.edu/r-sowers/traffic-modeling-in-manhattan/ This is a great way to get some skills in a real and important big data problem.
Solid coding ability is required.