Paper Contents
Abstract
Managing traffic efficiently and ensuring road safety have become growing concerns due to the rise in vehicle numbers and urban congestion. Traditional systems often fail to adapt to changing road conditions in real-time, leading to delays and accidents. This research explores how Artificial Intelligence (AI) can provide smart solutions for traffic control and accident reduction. AI tools like real-time data processing, pattern recognition, and predictive modeling are used to monitor traffic conditions, adjust signal timings dynamically, and identify accident-prone areas. The paper also discusses AIs role in analyzing driver behavior, enhancing emergency response systems, and creating safer transportation networks. Overall, the study emphasizes how AI can transform traffic management by making it more adaptive, responsive, and preventive in nature.
Copyright
Copyright © 2025 Nitin Tiwari. This is an open access article distributed under the Creative Commons Attribution License.
