A Robust Self Adaptive Collision Avoidance Method for Modern VANETs

The VANETs growing at large scale. The automobile manufacturer across the world have started working on the VANETs after understanding the high significance of the inter-connectivity between the vehicles to share the information about weather, traffic, collisions, hurdles, etc. The proposed model has been designed to overcome the problem of active updates regarding the blank hurdles or collisions, which have marked the hurdle on the way. The proposed model has been designed to flood the updates within the VANET cluster in order to reduce the threat of collisions or traffic jams due to the occurring hurdles or collisions. The proposed model uses the distance based hurdle detection mechanism with auto-updation within the VANET cluster. The proposed model has been evaluated on the basis of various performance parameters for its performance in the given scenario. The experimental results have shown the effectiveness of the proposed model.