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Detection and Management of Traffic Congestion using Artificial Intelligence

Ayush A Suvarna, Kumar Kiran A Naragund , Mahesh H B , Praneeth A L , Raghavendra L

Dept. of CSE, PES University

Bengaluru 560 085, India

ABSTRACT
Traffic congestion is a major problem in many cities of India along with other countries. Failure of signals, poor law enforcement and bad traffic management has led to traffic congestion. One of the major problems with Indian cities is that the existing infrastructure cannot be expanded more, and thus the only option available is better traffic management. Traffic congestion has a negative impact on the economy, the environment, and the overall quality of life. Hence it is high time to effectively manage the traffic congestion problem. There are various methods available for traffic management but the problem with these systems is that the installation time, and the cost incurred for the installation and maintenance of the system is very high.
In any case, Firstly, the flow of vehicles depends on the time of the day where the peak hours are for the most part within the morning and the evening on the days of the week  and times as occasions and summer. Furthermore, the current activity light framework is actualized with difficult coded delays where the light's transition time intervals are settled routinely and don't depend on flow of the vehicles. The third point is concerned with the state of one traffic light at a crossing point that impacts the traffic flow at adjoining crossing points.

Keywords : Traffic congestion, intersection, efficient flow.