Road traffic accidents are the main cause of death for young people and the eighth major cause of all deaths globally with death toll at 1.24 million deaths per year. Even although only 52% of vehicles in the world are, recorded in developing countries, 80% of road traffic deaths take place in these countries. The causes of road traffic crashes (RTCs) are multifactorial and involve the interaction of several pre-crash factors that include humans, vehicles, and road environment. Secondary factors may include adverse weather conditions, such as frost, fog, rain sandstorm, high temperature during the summer season, and other related factors. Traffic violations that include over speeding, improper overtaking, wrong turning, and stopping. Pedestrians are also at fault because many of them do not abide by traffic rules and regulations and do not follow the instructions necessary for their own safety. Some accidents are attributed to mechanical failure caused by poorly maintained vehicles and oversize loads carried by vehicles. All these factors contribute to the likelihood of occurrence of road accidents Numerous consequences of road accidents may be effectively prevented; however, this requires continuous efforts for new methods and programmes aimed at improving road traffic safety. The WHO predicts that without undertaking appropriate measures, road accidents will result in the death of approximately 1.9 million people annually. In all parts of the world, despite the level of the development of motorization, there is a need for improving the road traffic safety and reduce the number and severity of injuries resulting from these accidents. To achieve this goal, it is necessary to consider the problem of accident rates as an urgent problem, requiring cooperation of politicians, experts and professionals from research centers and universities dealing with road traffic safety, road traffic administration, rescue services etc. An indispensable instrument for the effective prevention of accident-related injuries is the adoption of a systemic approach, composed of the following elements: identification of the problem, formulation of goals, preparation of strategies and programmes, and monitoring undertaken actions Through implementing concepts of AI, our solution is centered on creating a program that anticipates road accidents concerning risk factors such as harsh weather, being aware of unsafe roads (potholes), and presence of animals or when animals are near the roadway path. Create a drive assistant device to be easily installed in a car that gives such information. The programme can give information about the road accident frequency along that road, possible potholes, animals crossing. The road characteristics such as age, level of maintenance, distance, traffic lights, junctions, possible road pavements such as deep potholes, shallow potholes, surface deterioration, edge failure, cracking etc., road geometry such as curves, elevations, depressions, traffic density, presence of traffic signals are initially uploaded into the programme. Road users can have a preview of the conditions they might or will encounter and the programme will suggest possible tips on how to drive or handle these obstacles.

Built With

Share this project:

Updates