Artificial Intelligence for Smart Traffic Monitoring and Road Accident Prevention
TL;DR
The findings show that AI technologies, such as smart traffic signals, real-time monitoring, and data analysis, can improve traffic flow and help reduce accidents.
Abstract
This study explores the role of Artificial Intelligence (AI) in smart traffic monitoring and road accident prevention. The main objective is to understand how AI can improve road safety by monitoring traffic, reducing congestion, and preventing accidents. The study discusses the importance of AI-based traffic management systems, common causes of road accidents, and the challenges involved in implementing these technologies. Information was collected from research articles, government reports, and other reliable sources. The findings show that AI technologies, such as smart traffic signals, real-time monitoring, and data analysis, can improve traffic flow and help reduce accidents. The study also highlights the need for public awareness, proper infrastructure, and government support for the successful implementation of AI-based traffic systems. In conclusion, Artificial Intelligence has the potential to make transportation safer and more efficient by supporting better traffic management and reducing road accidents. Keywords: artificial intelligence; Smart Traffic Management; Road Safety; Traffic Monitoring; Accident Prevention; Intelligent Transportation Systems