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.

The Condom Mob

Cesviamo is an italian social network created by Cesvi, a non-profit organization.

Here they had 3 goals…

  1. increase the awareness of their website,
  2. explain how the social network works…turning fundraising into “funraising”,
  3. and to make people – and above all students – more conscious about AIDS.

So they launched the biggest bet ever “Condom Mob” – 100 young person in a condom against AIDS!

The response so far has been beyond expectations…in the first case they managed to reach 223 person entering the condom, while in the second case it was 230!