Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The rapid advancement of Artificial Intelligence (AI) and the Internet of Things (IoT) has unlocked transformative potential in addressing urban traffic management challenges, particularly in the context of autonomous vehicle (AV) systems. Urban areas worldwide face growing complexities such as traffic congestion, inefficient traffic flow, safety concerns, and environmental pollution caused by vehicular emissions. This research paper investigates the synergistic integration of AI and IoT technologies to develop an intelligent traffic management framework tailored for autonomous vehicles, aimed at optimizing traffic efficiency, improving safety, and reducing environmental impacts.
"AI and IOT Integration for Intelligent Traffic Management in Autonomous Vehicle System.", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.b50-b54, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511108.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator