Vol. 29 No. 2 (2026) Cover Image
Vol. 29 No. 2 (2026)

Published: June 20, 2026

Pages: 229-234

Articles

Vehicle’s Traffic Flow Control Using Cloud Based IoT

Halah Mohammed AL-Kadhim 1 Haider Qays Al-Shammari 2
1 Artificial Intelligence Division, Education Development Department, Minister’s Office, Ministry of Education, Baghdad, Iraq
2 Department of Computer Engineering, College of Engineering, Al-Nahrain University, Baghdad, Iraq.
History
  • Received: December 6, 2024
  • Revised: March 21, 2025
  • Accepted: July 14, 2025
  • Available Online: June 20, 2026
DOI

https://doi.org/10.29194/NJES.29020229

Abstract

This paper proposes Smart Adjustable Traffic light Time System (SATTS), a cloud-based IoT network model with a central management architecture by using cloud based IoT. The model innovates an algorithm to gather data from IoT devices connected to the sensors network to enable efficient traffic management in smart city appliances. SATTS scheme adjusts the green light period at intersections to alleviate traffic congestion and minimize delays and keep vehicle’s traffic conservation. The mentioned model has been proposed to modifying the timing of green lights at the four ways intersection based on the vehicles arrival rate. The results verified by comparing SATTS with Fixed time Traffic light System (FTS) and Variable Traffic light System (VTS) models, and showed that the proposed schemes can effectively decreases delay and traffic congestion. On average, there is a reduction in the rate of number of waiting cars compared to the arriving cars of 33% in cycle 2 and 50% in cycle 3 for VTS, and 52% in cycle 2 and 75% in cycle 3 for SATT compared to FTS. SATTS minimizes delay time between the four lines of the intersection.

Keywords

References

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