Cloud Computing and Traffic Congestion

One of the challenges in any metro today is reaching your destination in time and comfort. Today it took me two hours to travel a distance of less then 20 Kms ( 12.5 miles) which was a real waste of my time and not a nice experience.
The best way to beat the traffic in metros like Mumbai is to travel between 3 a.m. to about 7 a.m. when the roads are mostly empty, signals do not operate and it is a free world. This is also the graveyard shift and no business can be done at this time.

Evening Traffic near IIT Powai -Mumbai

One of the solutions of managing traffic is using mobility, cloud computing for algorithmic engines which can guide the users in wading their way through traffic.
Some of the cities where I have seen this can be immediately implemented is Mumbai, Bangalore, Delhi, London (M25), New York, Sao Paulo, Sydney, Tokyo and many more.
The convergence of cloud, mobility, big data brings an opportunity to use technology to tackle traffic congestion in our cities. It has been proven that increasing the roads and building more flyovers does not help in reducing traffic congestion. Rather what is needed is traffic flow management and here is where cloud computing, mobility, big data and transport algorithms can make the difference.
Cloud computing is already being tested for Air Traffic control by GE
http://www.gereports.com/cleared-for-take-off/.
Here is an opportunity to build a solution in the cloud to manage traffic congestion which has an immediate impact on the GDP and the happiness index of the citizens.

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