Design of emergency priority traffic light controller system using FPGA and IOT based application platform / Nur Asyakireen Shamsuddin

• Main Author: Shamsuddin, Nur Asyakireen
• Format: Thesis
• Language: English
• Published: 2020
• Subjects: Q Science (General)
• Online Access: https://ir.uitm.edu.my/id/eprint/98463/1/98463.PDF; https://ir.uitm.edu.my/id/eprint/98463/

This project presents the Design of Field Programmable Gate Array (FPGA)-Based Traffic Light Controller (TLC) with Internet of Things (IoT). This approach is to control the traffics problem since traffic congestion is a phenomenon which contributed huge impact to the transportation system in Malaysia especially for the emergency vehicles. This problem has affected the emergency transportation such as ambulance to make way at the traffic light intersection which are always busy with many vehicles. This system was designed using FPGA based TLC with IoT platform to give priority to emergency vehicles especially ambulances at the traffic lights intersections. There are two objectives for this project which is to design and implement the Traffic Light Controller (TLC) using Field Programmable Gate Array at intersection roads and to notify the current Traffic Light System into more systematic way by implementing an IoT part in TLC. The IoT platform is use to connect the system with the emergency vehicles driver which it able to notify them the current traffics light state. The prototype of this project was simulated using Cyclone V and has been implemented on DE-10 Nano board as hardware. As for the IoT part, this project uses a Wi-Fi module ESP8266. This whole project was proven successfully on both part hardware and software.