Abstract:This paper reviews advancements in Artificial Intelligence (AI) and Machine Learning (ML) for road safety and accident prevention. It explores various techniques for developing intelligent road safety systems, emphasizing driver behavior, vehicle conditions (two-wheelers and four-wheelers), road and bridge integrity, and theft issues using Radio Frequency Identification (RFID). The findings suggest that Machine Learning enables real-time updates to safety systems, fostering a smart and efficient framework. AI enhances these systems by monitoring driver behavior, such as drowsiness detection via camera feeds. The paper also addresses AI’s role in assessing road and bridge conditions while noting certain limitations.

Index Terms: Artificial Neural Network (ANN), Rasberry Pi (RPI), Radio Frequency identification (RFID), Global Positioning System (GPS), Intelligent Transportation System (ITS), Optical character recgnization(OCR).

| DOI: 10.17148/IARJSET.2024.111112