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All Journal Proceeding of The International Conferences on Engineering Sciences
Andi Trio Suroso
Universitas Udayana (Unud)
Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Engineering

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Smart Traffic Management System for Reducing Urban Congestion in Major Indonesian Cities Using IOT and AI Technologies Michael Thobie Rahadian Kartono; Nuvia Kurnia Sari; Andi Trio Suroso
Proceeding of the International Conferences on Engineering Sciences Vol. 2 No. 1 (2025): January : Proceeding of the International Conferences on Engineering Sciences
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/iconfes.v2i1.14

Abstract

Urban traffic congestion is a growing problem in Indonesian cities, affecting economic productivity and quality of life. This research explores the development of a smart traffic management system utilizing Internet of Things (IoT) sensors and artificial intelligence (AI) algorithms to analyze traffic patterns and optimize flow. The proposed system collects real-time data and uses predictive analytics to adjust traffic signals dynamically. Field tests in Jakarta demonstrate a 15% improvement in traffic flow and reduced travel times during peak hours. The findings suggest significant potential for scalable smart city solutions in urban traffic management across Indonesia.
Co-Authors Michael Thobie Rahadian Kartono Nuvia Kurnia Sari