Intelligent Traffic Management System using RFID and IR Sensors based on Arduino Uno

DOI

10.2991/978-94-6463-858-5_149How to use a DOI?

Keywords

Arduino Uno; automated vehicle detection; identification system; IR sensors; RFID reader

Abstract

The proposed system presents an automated vehicle detection and identification system using Arduino UNO microcontroller, infrared (IR) sensors, and an RFID reader. With traffic congestion projected to increase by 50% over the next decade, efficient management solutions are essential. This system employs IR sensors that detect vehicle proximity by emitting and receiving infrared radiation, achieving detection accuracy rates of over 95%. Additionally, the RFID reader identifies vehicles through passive RFID tags using electromagnetic induction, which can read tags within a range of up to 10 cm with an accuracy of 99%. This low-cost solution facilitates real-time vehicle detection and identification, significantly reducing manual intervention and processing time. It is particularly suited for applications such as automated parking management, where studies indicate that computerized systems can reduce entry and exit times by up to 30%. The architecture is scalable and customizable, making it adaptable to various smart transportation scenarios, including toll collection and access control, addressing the growing need for enhanced urban mobility solutions.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Vijay Gaikwad
AU  - Pallak Gupta
AU  - Kartik Gambhire
AU  - Francis Muanawma Rohan Ingale
AU  - Aditya Gandhi
PY  - 2025
DA  - 2025/11/04
TI  - Intelligent Traffic Management System using RFID and IR Sensors based on Arduino Uno
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 1828
EP  - 1838
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_149
DO  - 10.2991/978-94-6463-858-5_149
ID  - Gaikwad2025
ER  -