The edge server is a strategically placed server that provides us with low latency and better connectivity. It works very efficiently in low light conditions also. The proposed model is robust and it takes into consideration adverse weather conditions such as hazy, foggy, and windy. In the third phase, the whole processing and decision-making part is performed at the edge server. In the second phase, the system checks whether there are any emergency vehicles present or not in any lane. We have to take input for the parameters (length and width) while setting up the system. The Index value of a particular road depends on its width and the length up to which the camera captures images of that road. In the first phase, the system processes the captured images and calculates the Index value which is used to discover the degree of congestion. In this paper, we have proposed a three-phase system that can guide emergency vehicles and manage traffic based on the degree of congestion. The main issue with these methods is they are very costly and high maintenance is required. There are already various technologies that are used for traffic management and signaling systems like video analysis, infrared sensors, and wireless sensors. ![]() Given these poor conditions of traffic, there is a critical need for automatically detecting and signaling systems. ![]() The increasing number of vehicles on the roads followed by old infrastructure, accidents, pedestrian traffic, and traffic rule violations all add to challenging traffic conditions. Traffic congestion is one of the great issues in many cities in India and other countries.
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