Using IoT and Advanced Tech to Improve Road Safety: Behavior, Infrastructure, and Global Trends

A major global public health concern, road traffic accidents continue to be common due to a combination of human behavior, inadequate infrastructure, and environmental factors. This study explores how cutting-edge technologies from a range of industries, including machine learning, unmanned aerial vehicles, and smart sensors can be integrated with the IoT to reduce RTAs. Behavioral science models are assessed for their efficacy in addressing driving-related hazards, while IoT-enabled devices demonstrate potential in real-time monitoring and accident prevention. The study also shows how IoT may be used to address human-related concerns such as substance abuse, drowsiness, and psychological distress, as well as infrastructure-related issues like pavement surface defects and poor horizontal alignment. By combining behavioral insights with IoT-driven innovations, the study presents a comprehensive approach to improving road traffic safety.