Development of Collision Avoidance System Using Fuzzy Logic
The collision avoidance system is the present state of the art hardware/software integration for preventing an impending collision. The developed algorithm functions in two stages. It first warns the driver and if the driver fails to respond in time, it applies the brakes automatically to avoid the collision or reduce its severity. This paper deals with the development of a suitable mathematical model for Collision Avoidance System. Analysis and Simulation of the mathematical model has been done in MATLAB(r) Simulation studies with On Off and Fuzzy Logic Controller are compared and usefulness of Fuzzy Inference System (FIS) has been established. With two fuzzy inputs namely (slip ratio and rate of change of slip ratio) and one output (fraction of Brake Pressure required) optimum braking force is achieved. An iterative method is used to optimize the FIS controller. A new definition of critical distance has also been developed for optimization of the assessment of critical distance.