Towards Distance Induced Automatic Braking System for Vehicular Agents using Neural Network and Proportional Integral Derivative Controller (original) (raw)

Automated Car Braking System Using Neural Network System Via Labview Environment

—This paper represents the development of a car braking system based on artificial neural network for use during parking. This project involves replacing the usual car reverse warning system with a system that will react automatically based on the distance between the car and a given obstacle by gradually increasing the braking pressure until such a point that is deemed the closest safe distance to the obstacle, in which the braking pressure will then be increased to max and the car will halt. To realize this application, this project will make use of LabView simulation software to create the artificial neural network engine and present the simulation results.

Autonomous Braking System: for Automobile Use

MIST INTERNATIONAL JOURNAL OF SCIENCE AND TECHNOLOGY, 2021

Road fatality and injury are a worldwide issue in the transportation industry. Road traffic accidents are becoming increasingly significant due to higher mortality, injury, and disability across the world, particularly in developing and transitional economies. Eighty-five percent of the total road traffic fatalities occur in developing nations, with Asia-Pacific accounting for roughly half of them. A variety of factors influence road safety, including technological, physical, social, and cultural factors. The purpose of this research was to design an autonomous braking system (AuBS). Using the Adaptive Neuro-Fuzzy Intelligent System (ANFIS), a DC motor, sensors, and SAuBS have been developed to customize the traditional hydraulic braking system. The genetic algorithm has been developed to simulate the fundamental characteristics of the automotive braking system. The AuBS system goal is to slow the car without the driver's help infrequent braking when the vehicle is moving at slo...

Development of Automated Braking System for Collision Avoidance of Vehicles

International Journal of Vehicle Structures and Systems, 2018

The main objective of this paper is to develop an automated braking system to avoid frontal collision of the vehicle due to driver inattentiveness. The working model comprises of automated braking system which includes ultrasonic sensor, bike brake system, high torque motor, microcontroller, motor driver, battery, double acting cylinder and solenoid valves. An algorithm is proposed for automated braking system. The proposed working model is validated with experimental results. The ultrasonic sensor is validated for distance measurement and the sensor predicts the distance with an error of 3.31 percent.

IDENTIFICATION OF INTELLIGENT CONTROLS IN DEVELOPING ANTI-LOCK BRAKING SYSTEM

This paper presents about the development of an Antilock Braking System (ABS) using quarter vehicle model and a control structure is developed to represents an ABS and conventional braking model. Different type of controllers is proposed to develop the ABS model. Antilock braking system (ABS) is an important part in vehicle system to produce additional safety for driver. This system is known as one of the automobile’s active safety. In general, Antilock braking systems have been developed to reduce tendency for wheel lock and improve vehicle control during sudden braking especially on slippery road surfaces. In this paper, to deal with the strong non-linearity in the design of ABS controller, an intelligent controller has been identified. The controllers such as PID and Fuzzy Logic are proposed to control the stopping distance and longitudinal slip of the wheel. Comparison results between these two controllers generated using Matlab SIMULINK.

Optimization of Vehicle Braking Distance Using a Fuzzy Controller

Energies, 2020

The paper presents the study of an anti-lock braking system (ABS) that has been complemented by a fuzzy controller. The fuzzy controller was used to improve the braking performance of the vehicle, particularly in critical situations, for example, when braking a vehicle on wet road. The controller for the ABS was designed in the MATLAB/Simulink program. The designed controller was simulated on a medium-size vehicle model. During testing, three braking systems were simulated on the vehicle model. We compared the performance of a braking system without an ABS, a system with a threshold-based conventional ABS, and a braking system with the proposed ABS with a fuzzy controller. These three braking systems were simulation tested during braking the vehicle on a dry straight road and on a road with combined road adhesion. A maneuverability test was conducted, where the vehicle had to avoid an obstacle while braking. The results of each test are provided at the end of the paper.

Intelligent Braking System for Automobiles

In most urban areas of the world especially in India accidents related to transportation and automobiles cause a huge number of fatalities. This can be contributed to the poor infrastructure, lack of road etiquettes and almost nonexistence of measures to enforce laws of the road. On average, 1214 accidents take place every day in the country. The Intelligent braking system could play an important role in reduction in the number of accidents by a simple solution of governing the speed of the vehicles. It uses GPS coordinates to locate the present zones that are the most accident prone like schools and hospital areas. The vehicle entering to these zones will acquire the assigned speed limit by the activation of brakes.