A Low Cost and Power Efficient Real-time Traffic based Urban Street Lighting System using Smart Sensors and IoT

Both in highway and urban scenarios, street lighting is essential to improve visibility and lower the accident rate at night. However, it uses a lot of energy, with recent increases in global utilization from 13% to 15% This enormous worldwide energy use is a result of excessive energy consumption, which annually produces roughly 3900 tons of CO2 emissions. Additionally, standard constant illumination lighting systems raise electricity costs and may be responsible for as much as 60% of them. Further, according to the India-USAID statistics, by 2027, the usage of streetlights globally is expected to reach about 363 million. Thus, may lead to an increase in power consumption and Carbon components in the future with existing approaches. Therefore, in this paper, an Internet of Things Enabled Smart Street Lighting System for Highway and Urban infrastructures is proposed. To this end, the proposed model makes use of a low-cost, low-power Passive Infrared (PIR) sensor for effective lighting control and has dimming capabilities during any movement of humans or vehicles in or out of sensor range. In addition, a Light Dependent Resistor (LDR) sensor is incorporated into the system for automatic detection of the environment brightness levels and turning on/off the streetlights on roads. For energy-saving lighting options, Sodium Lamps are replaced with Light-Emitting Diodes to lower the environmental effect while ensuring safety. Further, sensor data is analyzed and exchanged with each other over the internet. Finally, the values are stored in the cloud through Thingspeak.