@inproceedings{0736e2a0c8104ff38d0c4d7026dbee18,
title = "Model predictive control application for simplified adaptive cruise control",
abstract = "One of the Advanced Driver Assistance Systems (ADAS), Adaptive Cruise Control (ACC), takes over longitudinal control of the car when activated. This article analyses a simplified Adaptive Cruise Control (ACC) function using Model Predictive Control (MPC). The aim is to ensure the desired distance between a preceding target vehicle moving with constant velocity and the following host vehicle. Inputs and state variables are constrained for drivability and safety concerns. The simulations performed using MATLAB under various initial conditions validated the MPC design. The optimal selection of the prediction horizon and the effectiveness of introducing constraints are also discussed in this paper.",
keywords = "Adaptive Cruise Control, Model Predictive Control, Quadratic Programming",
author = "Sonmez, \{Ali Caglar\} and Jifu Guan and Zheng Zhang and Yan Xiong",
note = "Publisher Copyright: {\textcopyright} 2024 SPIE.; 9th International Symposium on Sensors, Mechatronics, and Automation System, ISSMAS 2023 ; Conference date: 11-08-2023 Through 13-08-2023",
year = "2024",
doi = "10.1117/12.3014805",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Lijia Pan and Zaifa Zhou",
booktitle = "Ninth International Symposium on Sensors, Mechatronics, and Automation System, ISSMAS 2023",
address = "United States",
}