© January 2019 | IJIRT | Volume 5 Issue 8 | ISSN: 2349-6002 IJIRT 147478 INTERNATIONAL JO URNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY 203 Intelligent Traffic Control System using Raspberry pi A. Malarvizhi 1 , Dr. D. Janaki Sathya 2 1,2 PSG College of Technology, Department of EEE Abstract- The traffic control system is the serious hazards in almost every country this is due to rapid increases in number of vehicle. In order to reduces the complexity and reduces the time, the existing traffic system has to be combined with an existing technology. Emergency services are organization which ensure public safety by addressing different emergencies. They are allowed to do drive through the intersecting when traffic signal light is red, because the vehicles are not reach the destination on particular time. Crisis vehicle like rescue vehicle an ambulance and fire trucks need to achieve their goals at the most punctual. An intelligent traffic control system has been developed to overcome the traffic problem using Raspberry pi. This method helps to give quick way to the traffic system and ambulance clearance. In this system RFID and IR sensor are placed on the traffic signal used to detects the vehicle and also store the data of vehicle for future use. Based on the number of vehicles count, the information is captured by sensor and store the details. During the traffic congestion time, any emergency vehicle detects the signal that automatically change GREEN to RED and also if there is heavy number of vehicle standing on the signal and it changes the signal accordingly. Once the signal has been changed, without the knowledge of traffic police. Using Flask Web Application Technology helps to check the details of traffic changes through internet with. Creating an application using local IP address, by using this address the traffic police can able to check the changes of signal in everywhere. It helps to reduces the manpower and cost effective. Index Terms - Traffic Congestion Control, RFID Module, GSM Module. INTRODUCT ION Traffic congestion is serious problem in many modern cities around the world. The travelling of different places within the city is becoming more difficult for the travelers in traffic. Because of the congestion problems, people lose time, miss opportunities, and get frustrated. Due to traffic congestions their loss in productivity from workers, trade opportunities are lost, delivery gets delayed, and thereby the cost goes on increasing. Traffic control system is major issue in the world. The emergency vehicles are permitted to break the rules, in order to reach the destination on time. The emergency vehicles do not get the information immediately after the accident has occurred. It needs a traffic control solution, which are different from the developed Countries. The intelligent management of traffic can reduce the negative impact of congestion. In recent years, wireless networks are mainly used in the road transport as they provide more cost effective. Most of the current day systems use predetermined timing circuits to operate traffic signals, which are not efficient because they do not operate according to the current volume of traffic at the crossing [1]. It is often seen in today’s automated traffic control systems because those vehicles have to wait at a road crossing even though there is little or no traffic in the other direction. To manage traffic congestion, sensor- based systems were suggested for improvement over fixed timing controlled ones. Sometimes multiple detections were also difficult to handle with a sensor based system. These techniques are deals with multivehicle, multilane, multi road junction areas. It provides an efficient time management scheme, in which, time schedule is worked out in real time for the passage of each traffic column. The real-time operation of the system matches the judgment of a traffic policeman on duty. Priority based traffic lights controller using wireless sensor networks was discussed which was used to provide clearance to any emergency vehicle by turning all the red lights to green in the path of the emergency vehicle depending on the priority assigned to them. Efficient management of traffic is achieved by instructing this system to make decisions based on traffic density occurring in its environment. The advantage lies in the fact that these automated systems in [3], being free of manual intervention, can be employed to monitor traffic in areas where it may not be feasible to post people or which are prone to accidents