A Distributed Real‑Time IoT System with Multiple Modes for Urban Traffic Management

Ajay Vijaykumar Khake, Syed A. Naveed

2025

Abstract

Traffic congestion is one of the growing urban problems that contributes to other problems including wasting fuel and death as well as non-productive usage of work time. Note: Round robin algo+programming logics are used in the heinous system7590183. While several recent works have proposed Internet of Things (IoT)-based frameworks to control the traffic flowing based upon the density information of each lane, the accuracy of these proposals is inadequate simply because there are too few images datasets regarding emergency vehicles existing, which could be used to train deep neural networks. In this research, motivated by two findings, we expected a contributing IoT pathway for a novel distributed IoT framework. The first insight is that major structural changes are rare. To leverage this observation, we propose a new two-stage vehicle detector achieving 77% vehicle detection recall on the UA-DETRAC dataset. This means that the second finding is that the emergency units differ from other cars due to the sound that sirens make, where they are detectable using an acoustic detection mechanism that is processed at the edge through an Edge device. Proposed approach yields 99.4% average detection accuracy of emergency vehicles.

Paper Citation

in Harvard Style

Khake A. and A. Naveed S. (2025). A Distributed Real‑Time IoT System with Multiple Modes for Urban Traffic Management. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 256-261. DOI: 10.5220/0013881100004919

in Bibtex Style

@conference{icrdicct`2525,
author={Ajay Vijaykumar Khake and Syed A. Naveed},
title={A Distributed Real‑Time IoT System with Multiple Modes for Urban Traffic Management},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={256-261},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013881100004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - A Distributed Real‑Time IoT System with Multiple Modes for Urban Traffic Management
SN - 978-989-758-777-1
AU - Khake A.
AU - A. Naveed S.
PY - 2025
SP - 256
EP - 261
DO - 10.5220/0013881100004919
PB - SciTePress