Traffic Clog is the main issue of the fast and evolving world. Due to the rise in the use of
more private vehicles and low road network capacity managing traffic with the traditional …

Traffic congestion is becoming the issues of the entire globe. This study aims to explore and
review the data mining and machine learning technologies adopted in research and industry …

Traffic system shows a great scope of trade with the environment and is directly connected to
it. Manual traffic systems are proving to be insufficient due to rapid urbanization. Central …

In recent decades the number of vehicles on the world's roads has continued to increase.
However, road capacity does not develop at the same rate, which generates a considerably …

Traffic management is improved in cutting-edge smart cities using technologies such as
machine learning and deep learning to streamline daily tasks and boost productivity …

Managing the ever increasing road traffic congestion due to enormous vehicular growth is a
big concern all over the world. Tremendous air pollution, loss of valuable time and money …

In present-day times, the number of vehicles has increased drastically, but in contrast, the
capabilities of our roads and transportation systems still remain underdeveloped and as a …

The rapid growth in the number of vehicles has led to traffic congestion, pollution, and
delays in logistic transportation in metropolitan areas. IoT has been an emerging innovation …

India is a developing country. Increase in personal vehicles comes with the development of
a country parallely. This has led to rise in congestion in large cities. So, we need a better …

Traffic congestionis a majorproblem inmanycities of India along with other countries. Failure
of signals, poor law enforcement and bad traffic management has lead to traffic congestion …