Forecasting Traffic Congestion and Traffic Reduction using Big Data Analytics

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Abstract

Traffic Jam has been one of the worst problems in the Country. Traffic Jams are leading consumption of enormous amount of Time, Energy and Money. Even though various traffic avoiding techniques are implemented, we are not able to reduce the traffic due to growing intensity of vehicles. Hence, there is a requirement for alternate method to overcome this traffic congestion. In this paper, we are implementing a separate lane for public transport by allotting a separate lane for them and to monitor the traffic we are using Artificial Number Plate Recognition camera which can capture the vehicles number plates and can store in database which can also be used as Real Time monitoring of traffic. The public will also be notified by sending them a message to use public transport so that they can save their time and money.

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Tukkoji, Dr. C. … Harshavardhan, K. S. (2020). Forecasting Traffic Congestion and Traffic Reduction using Big Data Analytics. International Journal of Innovative Technology and Exploring Engineering, 9(5), 787–790. https://doi.org/10.35940/ijitee.e2280.039520

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