How IoT & Big Data Are Driving Smart Traffic Management & Smart Cities


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Have you ever sat down and imagined the capabilities and limitations of big data – a term we give to drawing insights by applying analytics to the ever-growing amounts of digital information? Sometimes, it seems tempting to think that big data can do anything.

With big data, you can tell what is likely to happen; you can find unexpected relationships as well as monitor situations as they develop. Moreover, big data can be used to fix a problem before it becomes a crisis. We are going to look at managing traffic menace using big data, but first, let us briefly look at the term ‘smart city.’

What are Smart Cities?

A smart city is an umbrella of terms used to describe the act of designing a city or an urban development that is more agile and sustainable to support life – in areas cutting across roads, traffic control, sewerage systems, security, health and all other aspects of technology.

Big data is advancing the concept of smart cities. Cities are getting smarter to fetch more helpful responses through big data analytics to ensure there is ample space for the city to be connected to a standard network.

How Big Data and IoT are Being used in Traffic Management

Everyone hates jams – from city dwellers, planners and commuters the world over, congestion is a big menace. The integration of big data and Internet of things cloud platform, with a network of interconnected cars and sensors, means that traffic management is getting smarter and more efficient.

The concept of big data and IoT means that the quantity of traffic which should be allowed to roll out at a particular time can be regulated. Information can be collected in real time with the use of sensors, cameras, wearable gadgets and smart devices. With the rapid surge of connected vehicles, agencies and startups are using data analytics and mobile networks to help cities manage traffic more efficiently.

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