Abstract

Extensive number of traffic on roads and improper methods of controls of that traffic creates traffic jam. Bad traffic management leads to wastage of time, person-hour and increase in pollution. The frequent jams require a proper management system for increasing traffic. Existing methods work well in free-flow traffic but in the case of heavy congestion, these methods have to face challenges. Therefore, for better traffic management image processing methods serves as a better option. In this paper, for the vast increase in congestion problem and problems related to existing detectors we are giving an intelligent traffic controller based on the concept of real time image processing. The use of image processing helps in proper management of traffic even in shadows and various lighting conditions and it is also cost effective as the devices it requires like sensors, cameras are cheaper than for other solutions. The information obtained can be used further for the development on a user handy android application, which helps to detect traffic density at a particular location and depending on the results, the desired and more convenient path can be chosen.

Authors and Affiliations