Investigation of an Autonomous Vehicle's using Artificial Neural Network (ANN)

Abstract

This paper presents a study of autonomous vehicles on a normal highway in UAE, using MATLAB/Simulink® 2022. There is great potential for autonomous vehicles to improve the safety and efficiency of transportation, enhance the quality of time spent in cars, and make transportation more accessible to everyone. The vehicles utilized in the study have three different speeds 40, 80, and 120 km/hr. All vehicles modelled are representative of that available in the UAE. In the model, lane following and lane-keeping assistance functions and Simulink block which are described using artificial neural networks are selected. Simulation is validated with existing published results of physical vehicle models. In the simulations, it is assumed that vehicles have minimal steering angles as the system is in an autonomous collision free environment, selected from MATLAB. Results are obtained as velocities, accelerations, and safe distance with respect to the preceding vehicle. The following results are critically analyzed and validated.