Anti-lock Braking System Using Monte Carlo Simulations

Abstract

Motor vehicle safety is a major problem in the current era since the fatality rate of road users remains high, and it is the second leading cause of unnatural death globally. Car manufacturers have invested a lot in the previous years, regarding car security systems to curb the mortality rate among road users. The car security system consists of the active security system and the passive security system. In our study, we will be focused on the anti-lock braking system, which is a vital active security feature, and how it is incorporated in modern cars to prevent road accidents. A vehicle safety feature called the anti-lock braking system (ABS) makes it possible for a car's wheels to stay in tractive contact with the ground when braking. In response to the driver's inputs, the ABS functions to stop the wheels from locking up and sliding uncontrollably. A few factors impact the dynamics of the anti-lock braking system controller. The controller must use a controlled torque to maintain the desired wheel slip ratio. The speed and spin of the vehicle are used to compute slip ratio. This article entails how we are going to make use of MATLAB Simulink software to simulate the anti-lock braking systems by performing Monte Carlo simulations to improve the stopping distance, wheel speed, and slip of a vehicle.