Traffic congestion is a worldwide problem that is increasing year-on-year with the addition of new vehicles. The number of vehicles around the world is expected to double soon. According to the WeForum Report, in 2015, there were an estimated 1.3 billion motor vehicles on the world’s roads. With growing affluence in developing economies, that number is expected to soar to over 2 billion by 2040.

An obvious solution for tackling traffic congestion is by constructing new and safer highways with additional lanes. It is expensive and often not possible as cities have limited space and construction cannot keep up with ever-growing demand.

New ways to control traffic lights, respond to crashes, and create diversions are required to keep traffic moving. Developing a seamless traffic control system to enable stress-free commutes is the need of the hour. AI-based applications can provide possible solutions for better traffic management than conventional means.

Although it seems far-fetched, several companies are working on traffic management projects that explore the full potential of AI and deep learning. This blog post highlights the key benefits of AI and deep learning for tackling traffic congestion.

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