Design and Implementation an IoT Based Smart Traffic System Using Renewable Energy Sources

Abstract

Congestion in the streets is a big issue in many countries. Traffic congestion has been caused by signal failure, poor law enforcement, and inefficient traffic management. One of the biggest issues in many countries is that the existing infrastructure cannot be expanded further, leaving only better traffic management as an option. Overcrowding has a negative economic impact, on the environment, and on the general quality of life. As a result, it is past time to address the traffic congestion issue efficiently. For traffic control, visual data analysis, IR sensors, inductive loop detection, remote monitoring, and other methods are available. The problem of traffic congestion has had a significant impact on the country’s transportation system. This creates a slew of issues, particularly when there are emergency situations at traffic signal junctions, which are always congested. To address these issues, a traffic light controller system was created using renewable energy. When the system received a radio frequency (RF) transmission signal from an emergency vehicle, the speaker was triggered, and the traffic police were notified. The road was thereafter cleared by the traffic police. This technique will decrease accidents that occur frequently at traffic light crossings since other vehicles must congregate in order for an emergency vehicle to be given a unique route. This system was designed to run when it received a radio frequency (RF) transmission signal from an emergency vehicle, then the speaker was activated, also notifying the traffic police by the server. We include many features of a smart traffic system, such as voice announcement for ambulances with radio frequency, renewable energy source, extra power supply for residential areas, overspeed protection system, automatic street lights only for night time, pressure sensor traffic manual system, accident tracking and sending SMS with the accident location, local server, and global application/IoT base. Traffic congestion will be decreased as a result of the use of this innovative technology. Bottlenecks will be spotted early, allowing for early preventative steps to be performed, saving the driver time and money.