Pedestrian safety system with crash prediction

Every year nearly 1.5 million people are dying in traffic collisions around the world, due to unexpected behavior of pedestrians while crossing road. To address this problem an augmentation function for predicting crash risk active pedestrian is proposed. The has several functions like pre-crash scenario, vehicle trajectory, and trajectory. In a Pre-Crash movement such as entering road boundary or not detected. input comes from sensor which located at head car. After scenario trajectory used control speed vehicle. Then Markov IRW model-based finding predict state each pedestrian. states categorized into three types: Running, Walking Standing. model, types whether child young old aged predicted. And evaluated based on Monte Carlo algorithm that calculates minimum detection range pedestrians. If exceeded threshold limit then activating evasive action.