Big Data to predict traffic jams

Big Data is increasingly being used to find solutions to problems around the world. In this latest example, Microsoft has partnered with the Federal University of Minas Gerais, one of Brazil’s largest universities, to undertake research that helps predict traffic jams up to an hour in advance.

With access to traffic data (including historical numbers where available), road cameras, Bing traffic maps, and drivers’ social networks, Microsoft and team are set to establish patterns that help foresee traffic jams 15 to 60 minutes before they happen.

Microsoft has tested this model in London, Chicago, Los Angeles, and New York, and claims to have achieved a prediction accuracy of 80 percent.