Main Article Content

Abstract

The matter of traffic jam will increase quickly, thanks to the growing variety of vehicles and therefore the restricted resources in our country. There is a high would like for the introduction of recent technology to enhance the control. In present scenario traffic control system uses timer for each phase and sensors to detect vehicles, and produce signals. In the previous study they don’t consider about the heavy vehicle and the ambulance like vehicles in the traffic and that is must to clear the signal the vehicle is waiting. And to alert the traffic police to clear the situation in the traffic is to be considering in the proposed system. The frequent traffic jams at major junctions require AN economical traffic management system in situ. The ensuing wastage of your time and increase in pollution levels may be eliminated on a city-wide scale by these systems. The paper proposes to implement AN intelligent traffic controller victimization real time image process. The image sequences from a camera square measure analyzed mistreatment numerous edge detection and object enumeration strategies to get the foremost economical technique. Subsequently, the quantity of vehicles at the intersection is evaluated and traffic is expeditiously managed. The paper conjointly proposes to implement a period of time emergency vehicle detection system. In case an emergency vehicle is detected, the lane is given priority over all the others.

Article Details

How to Cite
C. Navamani, & A.Pandiyaraja. (2019). Ambulance notification and automatic traffic management using image processing . International Journal of Intellectual Advancements and Research in Engineering Computations, 7(1), 870–875. Retrieved from https://ijiarec.com/ijiarec/article/view/1018