Final Report: Modeling Adaptive Cruise Control (ACC) System

Verified

Added on  2020/07/23

|13
|3516
|139
Report
AI Summary
This report presents a comprehensive analysis and modeling of an Adaptive Cruise Control (ACC) system, crucial for improving road safety and vehicle efficiency. The study begins with an introduction to the growing importance of intelligent transportation systems and the need to reduce road traffic accidents. The report delves into the longitudinal dynamics of a vehicle, including engine modeling, wheel dynamics, traction models, and body dynamics, forming the foundation for the ACC algorithm. The implementation utilizes a PID controller to regulate vehicle speed and maintain a safe distance from preceding vehicles, employing the constant headway policy. The system's performance is evaluated through simulations, demonstrating the ACC system's ability to adapt vehicle speed based on the distance between vehicles, thus enhancing road safety. The report includes detailed discussions on the engine model, wheel dynamics, traction model, and vehicle dynamics, along with the controller design. The results section presents simulation outputs illustrating the system's response under varying distance conditions. The report concludes by highlighting the effectiveness of the ACC system in improving traffic safety and vehicle control.
tabler-icon-diamond-filled.svg

Contribute Materials

Your contribution can guide someone’s learning journey. Share your documents today.
Loading PDF…
logo.png

Your All-in-One AI-Powered Toolkit for Academic Success.

Available 24*7 on WhatsApp / Email

[object Object]