Published Paper Details:

The project aims to enhance road safety on curved mountain roads by implementing a warning system using an LCD Display that alerts drivers as vehicles approach from the opposite side of the bend. This system utilizes IR sensors connected to an Arduino Uno microcontroller to detect approaching vehicles, coupled with motor-operated gates for seamless passage. Additionally, the paper addresses the critical issue of landslides, proposing the use of accelerometer and rain sensors to detect hazardous conditions. When a landslide or heavy rainfall is detected, the system displays a warning message and closes the gates until the road conditions normalize, potentially preventing accidents and saving lives in hilly terrains. The "Vehicle Detection and Collision Avoidance System in Deep Curves" aims to address the frequent traffic congestion and accidents that occur in hairpin bends, primarily due to the lack of visibility and communication between vehicles. Although existing solutions offer some degree of collision avoidance, they often fall short in managing traffic effectively, which is crucial in hilly areas. This project focuses on the intelligent detection and classification of vehicles to prevent collisions using a combination of vehicles, LEDs, and by utilizing vehicle class information for better traffic management. Here, we provide a detailed approach to solve this problem and highlight the importance of efficient traffic management in hairpin curves.