Development and testing of braking and acceleration features for vehicle advanced driver assistance system

<span lang="EN-US">Traffic congestion is a constant problem for cities worldwide. The human driving inefficiency and poor urban planning development contribute to traffic buildup travel discomfort. An example of the phantom jam, which caused by unnecessary braking, causing slow down, eventually coming stop. In this study, brake acceleration feature (BAF) advanced driver assistance system (ADAS) proposed mitigate effects phenomenon. its initial stage, BAF provides heads-up display that gives information on how much braking input needed maintain smooth conditions, i.e., without sudden or deceleration, while observing safe distance from vehicle in front. employs fuzzy logic controller takes light detection ranging (LIDAR) sensor vehicle’s instantaneous speed engine control unit (ECU). It then calculates corresponding percentage value order objectives safe-distance travel. Empirical results show suggests values slightly higher than driver’s actual inputs can achieve 90% accuracy overall.</span>