Detection Brake Condition of Vehicle Using Fuzzy Logic in Visible Light Communication

Abstract

The number of motorized vehicles operating in Indonesia is increasing, especially two-wheeled motorized vehicles. This also triggers problems such as traffic jams and accidents. Warning from brake lights is not always effective to prevent collisions. Intelligent Transport System (ITS) offers a solution that is a future trend that refers to wireless communication as a system to detect and prevent accidents. In this research, a Vehicle to Vehicle (V2V) communication system using VLC consists of Leading Vehicle (LV) and Following Vehicle (FV). In LV there is an accelerometer that is used to detect the type of brake, namely No Brake, Brake and Hard Brake. The result of calculation of fuzzy logic data is binary data sent by VLC. VLC transmitter design uses and without lenses send binary data. Binary data is sent by V2V communication between LV and FV using VLC. FV detects binary data using a photodiode in day and night conditions. The performance LV that are fuzzy logic algorithm values used have an accuracy value of 87.5%. The results of brake detection using Fuzzy Logic algorithm are binary data sent 2 second sampling time through visible light communication. The binary data process transmitted process at daytime and night. Result highest accuracy using a lens is 58.33% at daytime and 72.34% at night.