Cutting commutes with data mining

The competition was to produce an algorithm to forecast travel times on the M4 for intervals ranging from 15 minutes to 24 hours with the greatest accuracy. It was contested by 364 teams from the Kaggle community — consisting of professional data analysts, statisticians and students from around the world — who used over two years worth of historical data from the NSW roads and traffic authority…
The $10,000 prize was taken out by Jose Gonzalez-Brenes (Carnegie Mellon University) and Guido Matias Cortes (University of British Columbia), two Costa Rican-born students based in North America whose algorithm will power the RTA live-traffic website and inform M4 management and operations, according to Kaggle founder Anthony Goldbloom.