📅 30 January 2024
DOI: 10.61132/iconfes.v2i1.14
Smart Traffic Management System for Reducing Urban Congestion in Major Indonesian Cities Using IOT and AI Technologies
Proceeding of the International Conferences on Engineering Sciences
Asosiasi Riset Ilmu Teknik Indonesia (ARITEKIN)
📄 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.
🔖 Keywords
#Traffic management; IoT; AI; urban congestion; smart city; Indonesia
ℹ️ Informasi Publikasi
Tanggal Publikasi
30 January 2024
Volume / Nomor / Tahun
Volume 2, Nomor 1, Tahun 2024
📝 HOW TO CITE
Michael Thobie Rahadian Kartono; Nuvia Kurnia Sari; Andi Trio Suroso, "Smart Traffic Management System for Reducing Urban Congestion in Major Indonesian Cities Using IOT and AI Technologies," Proceeding of the International Conferences on Engineering Sciences, vol. 2, no. 1, Jan. 2024.
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