Published April 3, 2026 | Version v1
Publication Open

IoT Based Smart Traffic Control System with Emergency Vehicle Identification and Real-Time Web Monitoring

Authors/Creators

Description

This project is about a traffic control system that uses the Internet of Things or IoT to make traffic flow better in cities. It helps emergency vehicles get through quickly. The system uses three IR sensors at each intersection to check how busy the traffic is. These sensors can tell if the traffic is low, medium or high. Depending on how busy it's the green light stays on for 5, 10 or 15 seconds. There’s also an RF module that works at 433 MHz It can detect when an emergency vehicle is coming. When it does it makes a corridor so the emergency vehicle can pass through without stopping. The system uses an Arduino Mega 2560 microcontroller. It also sends traffic data to the Thing Speak cloud. This way people can monitor the traffic in time. We also made a web dashboard using HTML, CSS, JavaScript and Node.js. This dashboard has maps shows data in a visual way and lets users export data. Our system is pretty accurate. It can detect things 97.3% of the time. It also reduces the waiting time by 58%. The system helps make traffic flow better and gets emergency vehicles where they need to go. The IoT-based traffic control system is a tool, for cities. It uses technology to make a big difference.

Files

IoT Based Smart Traffic Control System with Emergency Vehicle Identification and Real-Time Web Monitoring.pdf

Files (2.2 MB)

Additional details

Dates

Submitted
2026-04-03
Urban traffic congestion is a problem in cities all over the world. It causes longer commute times, higher fuel consumption and more pollution. Traffic lights usually follow a fixed schedule that doesn't adjust to changing road conditions. This leads to delays during both busy and quiet hours. Ambulances often get stuck in these delays, which can affect survival rates.

References

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