Modeling the Moving of a Self-driving Electric Car with Account the Features Invasive Sensors

Abstract

Most of a happening with four-wheeled electric cars occurs because of the failure of applying brake systems. The manual method of applied brakes is always dangerous as it can lead to accidents. However, practice shows that accidents are not accidental. We will not consider an extraordinary case of the accident cause - loss of consciousness by a driver. Failure in the linkages of applying brake systems, road conditions, uncontrollable speed of the vehicle, and manual operation of braking systems are, basically, the reasons for accidents. The driving class of the driver not only influences road safety but also helps in saving fuel consumption. The performed mathematical modeling takes into the account factors such as speed and movement, and several times applied brakes, a sharp acceleration, and various turns, as well as changes in the lane compared to the sensors data. These four sensors like the accelerometer, gyroscope, magnetometer, and GPS are using for gathering data.