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INFOKUM
Published by SEAN INSTITUTE
ISSN : 23029706     EISSN : 27224635     DOI : -
Core Subject : Science,
Computer Science & IT
The INFOKUM a scientific journal of Decision support sistem , expert system and artificial inteligens which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the theory, methods, and related applied sciences. Software Engineering. Image Processing Datamining Artificial Neural Networks
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 861 Documents
 83   84   85   86   87 
Prototype of IOT Based Traffic Light Control System with Infrared Sensor Based on Vehicle Density Dina Maizana; Ronal Kristian Manurung; Moranain Mungkin
INFOKUM Vol. 14 No. 03 (2026): Infokum, May - June 2026
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v14i03.3101

Abstract

Traffic congestion is one of the main challenges in densely populated urban areas. Conventional traffic light systems generally work based on fixed times without considering real conditions in the field. This study aims to design a prototype of an automatic traffic light control system that is able to adjust the turn-on time based on vehicle density. The system uses infrared light-based sensors to detect the number of vehicles on each Line in real-time. The detection data is processed by the ESP32 nodemcu to determine which Line gets the green light first. The system is designed to work alternately and dynamically so that all Lines get a chance, but still prioritizes the most congested Line. Test results show that this system is able to reduce vehicle queues and improve traffic flow

Page 87 of 87 | Total Record : 861

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