Exploring the Functionality of Traffic Control Systems: A Brief Review

Authors

DOI:

https://doi.org/10.26438/ijcse/v12i1.1623

Keywords:

Image Processing, Signal Processing, Sensor and Measurement Techniques, YOLO model

Abstract

Fast transportation systems and rapid transit play pivotal roles in the economic development of any nation. However, mismanagement and the resulting traffic congestion can lead to prolonged waiting times, increased fuel consumption, and financial losses. Although numerous traffic management techniques exist to address congestion, none is inherently flawless, given the constantly changing real-time situations. The primary cause of today`s traffic problems often lies in the shortcomings of existing traffic management systems. These systems often lack a focus on real-time traffic scenarios, resulting in inefficiencies. Our initiative seeks to bridge this gap by introducing a self adjusting traffic management strategy capable of seamlessly adapting to the ever-changing circumstances on the road. Traffic congestion and road safety are persistent challenges in urban areas, necessitating the development of robust Traffic Management Systems (TMS). This abstract provides an overview of a comprehensive TMS designed to address these challenges and improve overall urban mobility.

References

[1] Zhao-Xia Yang, Ming-Hua Zhu, "A Dynamic Prediction Model of

Real-Time Link Travel Time Based on Traffic Big Data," IEEE

Transactions on Intelligent Transportation Systems, Vol.20, Issue

8, pp.2843-2853, 2019.

[2] Ayushi Gupta, Dr. Charu Gandhi, Vartika Katara, Stuti Brar, "Real-

time video monitoring of vehicular traffic and adaptive signal

change using Raspberry Pi," IEEE Transactions on Vehicular

Technology, 2020.

[3] Akanksha Soni, Arun Pratap Singh, "Automatic Motorcyclist

Helmet Rule Violation Detection using TensorFlow & Keras in

OpenCV," IEEE Access, Vol.8, pp.123456-123465, 2020.

[4] Mihir M. Gandhi, Devansh S. Solanki, Rutwij S. Daptardar, "Smart

Control of Traffic Light Using Artificial Intelligence," IEEE

Transactions on Intelligent Transportation Systems, 2020.

[5] Mouna Zouari Mehdi, Habib M. Kammoun, "Entropy-Based

Traffic Flow Labeling for CNN Based Traffic Congestion

Prediction From Meta-Parameters," IEEE Transactions on

Intelligent Transportation Systems, 2022.

[6] Indrabayu, Rizki Yusliana Bakti, Intan Sari Areni, A. Ais Prayogi,

"Vehicle Detection and Tracking using Gaussian Mixture Model

and Kalman Filter," Proceedings of the 2016 International

Conference on Computational Intelligence and Cybernetics,

Makassar, Indonesia, pp.22-24, November 2016.

[7] Li Xun, Nan Kaikai, Liu Yao, Zuo Tao, "A Real-Time Traffic

Detection Method Based on Improved Kalman Filter," Proceedings

of the 2018 3rd International Conference on Robotics and

Automation Engineering (ICRAE), Guangzhou, China, pp.17-19

November 2018.

[8] Safoora Maqbool, Mehwish Khan, Jawaria Tahir, Abdul Jalil,

Ahmad Ali, Javed Ahmad, "Vehicle Detection, Tracking and

Counting," Proceedings of the 2018 IEEE 3rd International

Conference on Signal and Image Processing (ICSIP), Shenzhen,

China, pp.13-15, July 2018.

[9] R. Krishnamoorthy, Sethu Manickam, "Automated Traffic

Monitoring Using Image Vision," Proceedings of The 2nd

International Conference on Inventive Communication and

Computational Technologies (ICICCT2018), Coimbatore, India,

pp.20-21, April 2018.

[10] Jess Tyron G. Nodado, Hans Christian P. Morales, Ma Angelica P.

Abugan, Jerick L. Olisea, Angelo C. Aralar, Pocholo James M.

Loresco, "Intelligent Traffic Light System Using Computer Vision

with Android Monitoring and Control," Proceedings of

TENCON2018 - IEEE Region 10 Conference, Jeju, 2018.

[11] Sayan Mondal, Alan Yessenbayev, Jahya Burke, Nihar Wahal, "A

Survey of Information Acquisition in Neural Object Detection

Systems," Proceedings of the 32nd Conference on Neural

Information Processing Systems (NeurIPS 2018), Montreal, Canada,

2018

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Published

2025-11-27
CITATION
DOI: 10.26438/ijcse/v12i1.1623
Published: 2025-11-27

How to Cite

[1]
A. Vasudev, S. P, S. KP, S. B.C., and T. HM, “Exploring the Functionality of Traffic Control Systems: A Brief Review”, Int. J. Comp. Sci. Eng., vol. 12, no. 1, pp. 16–23, Nov. 2025.