Rock Fall Trajectory Prediction System for Enhancing Traffic Safety

Recently, there is high rate of rock fall risk that affecting road, railways, people and forest. Studies with different methods have been developed to deal with risk analysis and early warning system. This paper proposed one of the modern emerge technology based on hybrid system of computer vision and control theory. The system works as a real-time monitoring and application that predict, tracks and analyses the rock movement, then automatically generates the early worming messages and supports for further necessary action. Model with required algorithm has been designed to represent this system. The primary obtained results prove success and applicability of the system.