An expert system for automated highway driving

The principle objective of this research is to study the applicability of expert systems to the task of guiding an automobile on a limited-access highway. The vehicle is assumed to be equipped with sensors detecting the surrounding traffic, road signs, and road geometry, as well as control logic and actuators governing the throttle, steering angle, and brakes. The goal of the expert system is to issue commands to the controllers, given the traffic situation, traffic signals, road signs, and the strategy chosen by the driver. The system presented consists of a rule base providing the required driver knowledge, a backward-chaining inference engine that performs the reasoning, a knowledge base compiler that optimizes the reasoning process, and a highway traffic simulator that simulates vehicles on a highway, either controlled by a preset strategy or by an instance of the expert system.