IOT based real time traffic light management system for congestion control / Muhammad Nazif Ezany Yusop

This project aims to improve the efficiency of the traffic light management system by incorporating various smart city components and concepts. The system is intended to save time and electricity by improving key elements such as replacing traditional traffic lights with RGB lights, adding barricades to zebra crossings for pedestrian safety. Therefore, there are several sensors included in this project to ensure the aims are achieved. The sensor is DHT11 to determine the temperature and humidity for the weather forecast purposes. IR Sensor to detect the presence of vehicles on the platform. These inputs will be present in the output LCD. With this initiative, possibilities of human error can be eliminated, and it will also utilize the functionality of the traffic lights. This project utilizes both hardware and software part to achieve full efficiency. The software used for this project is Proteus 8. This part is the most crucial because it can help to reduce the errors and still give the chance to troubleshoot all the errors before applying to the hardware. This system will help to improve traffic management and improve overall efficiency in urban environments by implementing these enhancements and technologies, aligning with the vision of smart cities. There are few stages of completing this project, first is the design and development of the traffic light junction, the integration of the sensors and wireless technologies including the Internet of Things (IoT) component (NodeMCU), finally the testing and evaluation of the system’s functionality.