Applied Engineering, Innovation, and Technology

Vol. 2 No. 1 (2025)
Articles

Design and Implementation of a Smart Traffic Control Signal for Suburban Areas: A Case Study of Tarkwa-Nsuaem

pdf (English)
  • Isaac Aboagye Ampem,
  • Isaac Papa Kwesi Arkorful,
  • Lambert Dwomoh,
  • Yaw Sefa-Boateng
Isaac Aboagye Ampem
Norfolk State University, United States
Isaac Papa Kwesi Arkorful
Norfolk State University, United States
Lambert Dwomoh
Norfolk State University, United States
Yaw Sefa-Boateng
Norfolk State University, United States

Published 19-05-2025

Keywords

  • Microcontroller,
  • Ultrasonic Sensor,
  • Arduino,
  • ATMEGA 328P,
  • Traffic Accidents

Copyright (c) 2025 Isaac Aboagye Ampem, Isaac Papa Kwesi Arkorful, Lambert Dwomoh, Yaw Sefa-Boateng (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
I. A. Ampem, I. P. K. Arkorful, L. Dwomoh, and Y. Sefa-Boateng, “Design and Implementation of a Smart Traffic Control Signal for Suburban Areas: A Case Study of Tarkwa-Nsuaem”, Appl. Eng. Innov. Tech., vol. 2, no. 1, pp. 22–32, May 2025, doi: 10.62777/aeit.v2i1.52.

Abstract

With the increasing number of cars in suburban areas like Tarkwa-Nsuaem, expensive approaches to expanding road infrastructure are financially impractical for a lower-middle-income country like Ghana. Traffic accidents, causing 1.25 million deaths, up to 50 million injuries annually, and a global ratio of 18 deaths per 100,000 people, demand cost-effective prevention solutions for these suburban communities. This study proposes an ultrasonic sensor-based traffic control system using an HC-SRO4 ultrasonic sensor and an Arduino Nano with an ATMEGA 328P microcontroller. Simulated using Proteus 8 Professional and Arduino 1.6.7 software, the system optimizes traffic flow by eliminating the standard 60-second red light wait time. Vehicles on byways move freely unless a vehicle is sensed on the connecting highway, in which case the wait time is reduced to under 30 seconds. This low-cost, adaptive approach enhances road safety and efficiency, making it a viable alternative for traffic management in resource-constrained suburban communities.

pdf (English)

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