Use of Intelligent Control Systems to Manage Traffic Effectively and Productively

Abstract

Intelligent control system is the advanced technology in which the collected data is provided to A.I. and with the help of
various methods like machine learning, neural networks, Bayesian probability, fuzzy logic the solution to a particular
problem is found.
In a country’s growth the traffic management plays a great role as the maximum industries depends on the highways or
roads and when it is well planned it can reduce the commute time and decrease accidents , but when it is inefficient it can
also cause negative impacts.
This study focuses on the implementation of intelligent control systems for improving the speed of the traffic while
considering the safety of the people.
By collecting data through wireless sensor network (WSN) and surveillance cameras about the accidents and high
intensity traffic zones we can train the A.I. on the methods like neural network, genetic algorithm and predict the
formation of these zones, as such by the help of a app we can provide this information to the driver and also provide the
right and productive route.
Hence, the expected outcome of this study is to predetermine or predict the formation of these traffic zones and also
preventing the accidents caused by them. With the better traffic management the growth of an country is also impacted.