Automated Train AI-Prototype using Neuro Fuzzy Inference

Project Report from the year 2020 in the subject Computer Sciences - Artificial Intelligence, grade: 9, SRM University (SRM Institute Of Science and Technology), course: Neuro and Fuzzy Logic, language: English, abstract: This fuzzy control system is an AI prototype for an automated train, i.e. a train which runs by its own on the basis of two input parameters: distance from the signal (in km) and color of the signal (red, green or yellow). On the basis of the given input parameters, this system dynamically changes the speed of the train which is the output (in kmph). If the signal color is red, then the train stops just before it. If it is yellow, then it stops at the upcoming station. It turns green, it surpasses the upcoming station.