Accident Reproduction System For The Identification of Human Factors Involved on Traffic Accidents

Automotive vehicles are increasingly being equipped with accident avoidance and warning systems for avoiding the potential collision with an external object, such as another vehicle or a pedestrian. Upon detecting a potential factor, such systems typically initiate an action to avoid the collision and provide a warning to the vehicle operator. In this Server a complete accident avoidance system is proposed by determining the driver’s behavior. As the main causes of vehicle accident were related to human factors, they could be labeled in one of the three main driver’s distraction categories of Over Speed and Alcohol Consumption and Mobile usage and Drowsiness Detection. The aim of the proposed system is to help in analyzing the factors associated with driver’s behavior for the development of accident avoidance systems. The main causes of the traffic accidents, discovered in the analysis of the driver behavior with the help of our system, will be used for the development of assistant devices and alarm systems that could help the driver to avoid risky situations. The Server also implementing to send an automatic SMS alert to the Owner’s mobile number, when the driver rashly drives the vehicle, drunk and drive, feel sleepy and talk in mobile phone.