Genetically optimized controller for urban traffic emergency braking system based on ultrasonic sensors

In this work, an original controller for an emergency braking system for urban traffic based on ultrasonic sensors is presented, which is optimized by means of a Genetic Algorithm. The main advantage over similar controllers available in the market today, is that in order to maintain a safe distance to the preceding vehicle, it is not necessary to know the speed of either the controlled vehicle or the vehicle ahead. The only information used by the proposed controller is the distance between vehicles, which is measured by an ultrasonic system. In this way, the interaction with the electronics of the vehicle is avoided, except for the action on the braking system. Moreover, the use of ultrasonic sensors also makes possible the detection of pedestrians on the road, resulting in the avoidance of accidents, or at least lessening their consequences.