Traffic Clearance for Ambulance using Deep Learning

The basic mode of transportation for limited distances is mostly through road ways. As the problem of urban traffic overcrowding spreads, there is a pressing need for the introduction of advanced technology and equipment to improve the state-of-the-art traffic control. Nowadays traffic problem is increasing because of the increasing number of vehicles and the limited resources provided by the current infrastructures. Due to this, the waiting times at signals accumulate, and lead to wastage of time. In concern with this problem, we have proposed a system that will help emergency vehicles like ambulance, fire brigade, police cars, etc. to pass through the junctions without being stopped. The article presents an application of computer visualization method along with deep learningfor traffic flow monitoring and road traffic analysis. The application is utilizing image processing and pattern recognition methods planned and personalized to the needs and constrains of road traffic analysis.