Smart Traffic Control System Based on Vehicle Density

Abstract

The project is designed to develop a SMART TRAFFIC CONTROL SYSTEM BASED ON VEHICLE DENSITY. The signal timing changes automatically on sensing the traffic density at the junction. There are several models for traffic simulation. In our project we focus on optimization of traffic in a city using IR sensor and visual monitoring using microcontroller ARDUINO UNO. Traffic light optimization is a complex problem. In this project, we propose an approach, to process the input data by Microcontroller and finally allotting a specific time to traffic light signals to control the Closed Loop System. The system contains PIR sensors which are mounted on the either sides of roads respectively. The IR system gets activated whenever any vehicle passes on road. Microcontroller controls the IR system and counts the number of vehicles passing on road. Microcontroller also store vehicles count in its memory. Based on different vehicles count, the microcontroller takes decision and updates the traffic light delays as a result. The system records vehicle count in its memory at user predefined recording interval on real time basis. This recorded vehicle count data can be used in future to analyze traffic condition at respective traffic lights connected to the system. Any central station computer can access traffic conditions of any approachable traffic lights to reduce traffic congestions to an extent. In future this system can be used to inform people about different places traffic condition through GSM or with the concept of Internet of Things.