• DocumentCode
    1494453
  • Title

    An expert system for automated highway driving

  • Author

    Niehaus, Axel ; Stengel, Robert F.

  • Author_Institution
    Dept. of Mech. & Aerosp. Eng., Princeton Univ., NJ, USA
  • Volume
    11
  • Issue
    3
  • fYear
    1991
  • fDate
    4/1/1991 12:00:00 AM
  • Firstpage
    53
  • Lastpage
    61
  • Abstract
    The applicability of expert systems to the task of guiding an automobile on a limited-access highway is studied. 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 driving 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 instance of the expert system. The implementation and the testing environment, including the highway traffic simulator and simulation results, is described. The benefits associated with the use of the system are summarized.<>
  • Keywords
    automobiles; computerised navigation; expert systems; inference mechanisms; road vehicles; automated highway driving; automobile; backward chaining inference; computerised navigation; control logic; expert system; highway-traffic simulator; knowledge-base compiler; reasoning; road vehicles; Automated highways; Automatic control; Automobiles; Expert systems; Geometry; Logic; Road transportation; Road vehicles; Traffic control; Vehicle detection;
  • fLanguage
    English
  • Journal_Title
    Control Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1066-033X
  • Type

    jour

  • DOI
    10.1109/37.75579
  • Filename
    75579