IOT in Smart Cities for Traffic Management

Authors

  • Konda Reddy M, Dr.Gowthami V School of Science and Computer Studies, CMR University, Bengaluru, India Author

DOI:

https://doi.org/10.70849/IJSCI

Keywords:

YOLOv8, DeepSORT, Virtual Line Counting, Urban Mobility, Fuzzy Logics, Intelligent Transport System

Abstract

IOT stands for Internet of Things. IOT refers to the system of connected and interconnected devices with the help of Sensors and Actuators. This Paper is included to manage the traffic signals. These days, we don’t need the Traffic Police because we have CCTV Cameras beside the Traffic Signals. In this situation, we control the traffic signals by seeing the CCTV footage to monitor traffic. In this, we use the IoT-based sensor to direct more traffic to decrease signal time, and the direction is to reduce traffic to increase signal time automatically. In this, we have to implement smart cities for traffic signals. We have to do the traffic management for traffic signals. These days, we have to upgrade the Traffic Signal System. If we manage the traffic signals, we don’t waste time in traffic, and also reduce road accidents. To implement this smart traffic system, the proposed algorithm uses YOLOv8 for object detection (vehicles and pedestrians), DeepSORT for accurate tracking of moving vehicles, virtual lines to count vehicles crossing intersections, and fuzzy logic to make intelligent decisions about signal durations based on real-time traffic conditions. This integrated system aims to minimize traffic congestion, reduce waiting time, and prevent road accidents. After implementing this Algorithm to decrease the travelling time in traffic. In today's fast-paced world, we must update and improve our traffic rules to ensure safer roads for everyone. One of the first changes we propose is to remove the rule that allows overtaking from the right. This often leads to confusion and accidents, especially in busy traffic. Instead, the focus should shift toward implementing and enforcing more relevant rules that match current traffic patterns and safety needs. Upgrading our traffic management system with such technology is essential for future smart cities. It not only improves traffic efficiency but also ensures public safety. With reduced idle time at signals and fewer chances of road mishaps, travel becomes faster and safer. Additionally, in today’s fast-paced world, it is important to revise outdated traffic rules. One such rule is the allowance of overtaking from the right, which often leads to confusion and accidents on crowded roads.

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Published

12-09-2025

How to Cite

[1]
Konda Reddy M, Dr.Gowthami V, “IOT in Smart Cities for Traffic Management”, Int. J. Sci. Inno. Eng., vol. 2, no. 9, pp. 472–484, Sep. 2025, doi: 10.70849/IJSCI.