Implications and outcomes of controlling a LED AFS (Adaptive Front-Lighting System) using fuzzy logic for the South American Markets

The vehicular illumination system has had, in the past decades, huge technological advances such as the use of a light emitting diode (LED) adaptive front-lighting system (AFS), which represents an industry breakthrough in lighting technology and is rapidly becoming one of the most important innovative technologies around the world in the lighting community. This paper presents AFS control alternatives using fuzzy logic (type 1 or 2) to determine its operating parameters taking into consideration both the driver's and road conditions from the state of Sao Paulo (Brazil). Fuzzy logic is a well-known extension of the conventional (Boolean) logic that enables the treatment of uncertainty presented in the information, through the definition of intermediary membership values between the “completely true” and the “completely false”. This technique or modeling strategy is particularly important when a multi-parameter decision must be taken or the decisions are based on the human knowledge. The results show the potentiality of the methodology proposed and its suitability for the add light control, providing night time driving safer according to the driver's and market needs.