Study of Integrating the Data Fusion Method for Reducing and Preventing Road Accidents Occur at Blackspots Places in Third World Countries

Every year, nearly 1.3 million of people worldwide are losing life due to road accidents. Majority of 90 percent of the world’s accidents occur in developing countries. Many accidents are due to recklessness of drivers who take high speeds and the poor quality of roads in third world countries. The measures taken by some governments to increase road safety such as the use of speed governors failed to prevent road crashes and accidents at Blackspots places. Therefore, in this study, we proposed data fusion as a method for reducing and preventing the road accidents occur at Blackspots. However, in order to eliminate traffic accidents, the improvement of current hardware should be adopted to be more effective. Being pragmatic, GPS sensors and artificial landmarks were supposed to be used in the system. We describe overall architecture of the proposed data fusion system using Kalman filter algorithm. The results are able to filter out the data so that they will not be unwanted vehicle braking due to bad image of the landmark at Blackspots taken by the front camera of the vehicle, showing that the fusion is doable.