Big Data has not finished surprising us, and come to revolutionize the economy by transforming the approach to whole sectors. The flow analysis of massive data in real time, to make concrete decisions, is a major challenge for the cities of tomorrow. According to Philippe Torres, board director and digital strategy at L'Atelier BNP Paribas, and co-author of the study "Big Data, Big Economy", the biggest potential to use the power of Big Data is also in the field Smart City. Will the data to make our cities smarter? Yes, and the transformation has already begun.

The Smart City is a reality

Less pollution, waste management optimized, more parking problems and even an optimized energy management as necessary ... The fantasy of intelligent city is not new. The concept of "smart cities" dragging on for years, even decades, with the sweet dream that the city of tomorrow will improve our lives. For now, the experiments about smart cities remained limited to sporadic trials. But the emergence of the power of Big Data, and connected objects, upsets this finding.


Bluffing examples of what technology offers is now visible. These include the city of Songdo, about 60 km from Seoul, South Korea. Cisco has launched projects related to the concept of smart city since 2000. The prehistory in data!
◾RFID chips can track the real-time traffic, and every person to know the live traffic conditions;
◾Waste is collected directly from the residents, as required. More trucks to collect garbage;
◾Connected bracelets can detect abnormalities such as missing children on the way to school;
◾Public lighting is done in real time, depending on occupancy.

How Big Data can make our cities smarter?

The example of Songdo, but also other initiatives, gives ideas to major cities around the world. "What is interesting in this application is that the people themselves become a channel of information feedback that will help cities to further optimize their services," says Philippe Torres in the columns of the Digital Factory. How Big Data acts concretely?
◾It can help reduce emissions and drastically limit pollution. An intelligent traffic management can be implemented using sensors in roads to decongest areas and better balance the traffic flows. We limit unnecessary travel and promotes "soft" travel;
◾It can provide an answer to the eternal problem of parking. Again, with sensors, a car will soon be guided to a parking "free", the exact location will be sent for example by GPS;
◾It can make a real reduction in energy requirements. As such, the development of smart grids (intelligent network electrics) is a good example. Optimize production, distribution, consumption, it becomes possible with the data users;
◾It can respond to management issues. The density and compactness are not the only answers to the cities of tomorrow. Depending on the required functional diversity, architectural choices can be made in an informed manner.

Source: Rémi Vidal, May 17th, 2016 - Alphalyr Blog