IoT Platform-Based Prototype Model of an Adaptive and Intelligent Traffic Lighting System

Street lighting is an important concept on which we have to focus more because we spend more than 40 percent of the allotted budget towards it. In the present scenario most of the street lighting systems are inefficient in reducing the cost. An effective solution is reducing the energy consumption. This paper deals with monitoring and controlling the street lights through IoT and energy consumption reduction of the street lights in a smart way. The proposed system can make the street light to glow with different intensities as per the scheduled timings also depending on the traffic as well as on climatic conditions Transformer and relays are used to reduce the intensity of the light by reducing the voltage. Sensing the darkness and detection of objects can be carried out by Light Dependent Sensor (LDR) and Passive Infrared (PIR) sensors. Master node (Raspberry Pi) and Slave node (Arduino) communicate each other through RF module. Current and Potential transformers are used to measure the current and voltage readings respectively and the values will be uploaded to server and these can be monitored from anywhere in the world. This project helps not only to the government but also to the educational institutions, offices and industries.