Automatic vehicle following using the fuzzy logic

Abstract

In advanced vehicle control systems (AVCS), autonomous intelligent cruise control (AICC) is generally understood to be a system that can be achieved in the near future without the demanding infrastructure components and technologies. AICC is an automatic vehicle following system with no human engagement in the longitudinal vehicle direction. This paper presents a fuzzy control algorithm to develop an AICC system, and examines the control performance in formation of vehicles using computer simulations. The most important aspect of the work reported here is the adoption of the fuzzy adaptive control law, and the use of filtering concept to reduce the slinky-effects that may appear in a formation of vehicles equipped with AICC systems. The simulation results demonstrate the effectiveness of the fuzzy adaptive AICC system and its beneficial effects on traffic flow.