Published Paper Details:

Nowadays congestion in traffic is a serious issue. The traffic congestion can also be caused by large Red light de-lays, etc. The delay of respective light is hard coded in the traffic light and it is not dependent on traffic. Therefore for simulating and optimizing traffic control to better accommo-date this increasing demand is arises. In this paper we stu-died the optimization of traffic light controller in a City us-ing raspberry pie and IR sensors. Thus I propose multiple traffic light control and monitoring system. The system tries to reduce possibilities of traffic jams, caused by traffic lights, to an extent. The system is based on image processing using python during day time and ir sensors in the night. The micro-controller used in the system is Raspberry pie. The system contains IR transmitter and IR receiver which are mounted on the either sides of roads re-spectively. The IR system gets activated whenever any ve-hicle passes on road between IR transmitter and IR receiver in night. Microcontroller controls the IR system and counts number of vehicles passing on road. Microcontroller also store ve-hicles count in its memory. Based on different vehicles count, the microcontroller takes decision and updates the traffic light delays as a result. The traffic light is situated at a certain distance from the IR system. Thus based on vehicle count, microcontroller defines different ranges for traffic light delays and updates those accordingly. In our system there is a special priority to ambulance and fire brigade. A smart card is issued to all the ambulances and the fire brigade buses which will be detected at the signal and will be allowed to pass the signal without any interruption.