Developing a Model of Adjusting Speed and Distance between Vehicle to Vehicle with Fuzzy Logic

Abstract

Today, inter-vehicle communication is a popular issue and the presence of driverless vehicles is increasing day by day. Even in today's vehicles, many decisions are made by the control center of the vehicles instead of the driver. Therefore, the studies to be carried out on the automatic control of vehicles has major importance. In this study, a model was developed to adjust the distance and speed of the vehicle with the vehicle in front according to the conditions by using fuzzy logic. Prototype work was done by using arduino micro controller on model vehicle. Tests carried out under different road conditions have achieved an average success of nearly 80%. For automatic control systems, this ratio is quite good. This study suggested a model that would provide convenience to drivers especially in stop-and-go traffic. The results showed that using fuzzy logic model in vehicle control systems will bring high success.