Pre-Crash Sensing and Warning System in Hill Station

Abstract

Accidents are more common in mountainous areas, and as a result, more people lose their lives. The roads in this are a are curved and steep, making it difficult for drivers to see vehicles on the other side. Most accidents occur in hill stations, according to the report (i.e., 13% of all accidents). Because of this, we came up with the concept of utilizing embedded systems technology to solve the problem at hand. A model for reducing the number of accidents in hill stations is proposed in this research. Hair bend pin curves, valley points, and vehicle skidding are the three most common accident sites in the mountains. Our proposed system is created utilizing an Arduino Uno board with IR sensors and Ultrasonic (UR) sensors, and we are proposing to fix it at these dangerous spots. On either side of the road's hairpin bend, IR sensors detect vehicle movement and relay that information to a traffic module on the other side. The valley point has a UR sensor, which detects vehicles approaching the valley point and sounds an alert with buzzers. The primary goal of the proposed model is to reduce the death rate in mountainous stations by preventing accidents.