Design and Implementation of a Density Based Smart Traffic Control System

Nowadays Traffic congestion is the most common problem in the majority of the countries around the world. Traffic congestion or blocking is mainly due to the increased number of vehicles, poor infrastructure, and failure of existing systems. There are different ways to identify the congestion problem. This proposed model makes use of infrared sensors, which helps in controlling the traffic. This article explains you how to control the traffic based on the density. In the first module, we will use IR sensors to measure the traffic density. We have to arrange one IR sensor for each lane, these sensors detect the traffic on that particular road. All these sensors are interfaced to the microcontroller. Based on these sensors, controller detects the traffic and controls the traffic system. As a part of second module, we are using “sound detecting sensor�. Whenever it detects sound of emergency vehicles, the sensor will send signals to microcontroller to make the signal green. In this project, we also focused on representing temperature by interfacing temperature sensor and display. This is also a priority based system. This project includes controlling of street lights automatically by interfacing LDR sensor with Arduino Uno. Emergency Pre-emption system play a key role in representing signalized traffic intersections this role is essential for safe and minimal travel put off of the emergency vehicles passing through avenue intersections. This prototype is implemented to evaluate the feasibility of the model, and the results of the experiment reduce traffic congestion