Novel HBM Spacing Policy for Fuzzy Based Forward Collision Avoidance System in Vehicle

Use of fuzzy controller offers the advantage of assimilating the human intelligence for nonlinear complex system like autonomous vehicle. In order to prevent rear end collision of vehicles travelling in the same direction, Forward collision avoidance system is introduced which uses automated throttle and brake adjustment. Occupant comfort and safety are used as performance measures for assessing the performance of the system. The performance of the system depends on the spacing policy which describes about the distance to be maintained between the vehicles (lead and host) travelling in the same lane and direction of travel with respect to the velocity of travel. This research work proposes a novel Human Behavioural Model to determine the spacing between the vehicles and a heuristic-based Fuzzy controller since it does not require a detailed mathematical model of the system. Test result shows that the controller with the proposed method has shown an improved performance over the other existing spacing policies.