Traffic Management System for Ambulance

Traffic Management System for Ambulance

Shubham Aditya1, Harsh Amabaliya2, Omja Shukla3, Vijay Kumar Sahu4, Pooja P. Raj5

Student B.Tech. Computer Science 1,2,3,4, Assistant professor in Computer Science Department

Kalinga University, Raipur (C.G), India 492101

Email-HarshAmbaliya2334@gmail.com

Abstract: Rapid urbanization and population growth have increased the number of vehicles on the road, causing traffic to surge dramatically. It takes a lot of work to control the enormous number of vehicles in traffic. Sometimes, an ambulance is caught between these vehicles and may have to wait at a traffic light for a very long period, which further saps patience. We also understand that once lost, life is valuable and cannot be recovered. To overcome this problem, we need a smart traffic control system, which dynamically adopts changing conditions. The main concept of this paper is to build a model which first captures the live feed of traffic using a camera and will try to detect the ambulance through computer vision and image processing on every frame of video. Once an ambulance is detected then it turns the traffic light to green and other red until the ambulance crosses the traffic light. This makes it possible to clear the way for an ambulance waiting at a traffic signal.

Keywords: detection of an ambulance, traffic signal, image processing, YOLO, python