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

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-03
DOI
https://doi.org/10.5281/zenodo.19398896
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Dr. A. V. Santhosh Babu, D. Vimal Kumar, K. Surya Prakash, A. Anton Maria Jones, S. Logeswar, S. Mokith
Zenodo (CERN European Organization for Nuclear Research)
IoT and GPS-based Vehicle Safety Systems
article

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

Dr. A. V. Santhosh Babu, D. Vimal Kumar, K. Surya Prakash, A. Anton Maria Jones, S. Logeswar, S. Mokith
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 6%
IoT and GPS-based Vehicle Safety Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.