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Traffic Congestion Management System : An Approach with Machine Learning

Ankush Jain, Ankur Kumar


Traffic congestion is one of the major issues that is faced in most of the modern cities. It
results from rapid urbanization and has a negative influence upon the society. Hence there is
an urgent need for solutions to tackle this issue. This paper presents a traffic congestion
management system which will help in predicting and controlling the traffic. The system will
make use of Machine Learning technology in R programming language and Big Data analysis.


Traffic Congestion Management System, Machine Learning, Big Data Analytics, R Programming.

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