Autonomous vehicles are one of the most advanced applications of modern engineering, artificial intelligence, and vehicle dynamics. These vehicles use sensors, controllers, machine learning algorithms, and mechanical systems to move safely without human intervention. One of the fundamental principles governing autonomous vehicle motion is Newton’s Second Law of Motion, which relates force, mass, and acceleration. Proper understanding of this law is essential for acceleration control, braking systems, steering stability, collision avoidance, and trajectory planning. This paper presents a detailed study of Newton’s Second Law in autonomous vehicle motion control using Engineering Mechanics principles. Mathematical models, vehicle dynamics, control systems, and computational techniques are discussed. Results show that accurate force and acceleration analysis significantly improves autonomous vehicle safety, stability, and performance.

**Keywords:** Autonomous Vehicle, Newton’s Second Law, Motion Control, Vehicle Dynamics, Engineering Mechanics, Intelligent Transportation