Artificial Intelligence For The Road Safety

Author Details

Road safety is a critical global concern, with millions of lives at stake each year due to accidents and fatalities. In recent years, there has been a growing interest in leveraging Artificial Intelligence (AI) technologies to enhance road safety measures. This paper provides a comprehensive overview of the application of AI in the context of road safety, exploring its potential to reduce accidents, improve traffic management, and save lives. The paper begins by outlining the current state of road safety globally, highlighting key challenges and areas that require attention. It then delves into the various ways in which AI is being deployed to address these challenges. This includes the use of machine learning algorithms for predictive analysis of accident-prone areas, computer vision for real-time monitoring of traffic violations, and natural language processing for analyzing driver behavior. Furthermore, the paper discusses the role of AI in developing advanced driver assistance systems (ADAS) and autonomous vehicles. These technologies have the potential to revolutionize road safety by reducing human errors and enhancing vehicle communication. The integration of AI in traffic signal optimization and smart infrastructure is also explored, showcasing the possibilities of creating more responsive and adaptive road systems. Ethical considerations and challenges associated with the deployment of AI in road safety are discussed, emphasizing the importance of responsible AI development. Additionally, the paper addresses the need for collaboration among stakeholders, including government agencies, technology developers, and the automotive industry, to ensure the effective implementation of AI-based solutions.

Keywords

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Chaudhary, et.al (2003); Artificial Intelligence For The Road Safety, IPEM JOURNAL OF COMPUTER APPLICATION & RESEARCH, 8(1), 69-75