Issue |
EPJ Web Conf.
Volume 330, 2025
The 5th International Conference on Electrical Sciences and Technologies in the Maghreb (CISTEM 2024)
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Article Number | 04005 | |
Number of page(s) | 7 | |
Section | Data Analysis, Internet of Things and Artificial Intelligence for Renewable Energy Applications | |
DOI | https://doi.org/10.1051/epjconf/202533004005 | |
Published online | 30 June 2025 |
https://doi.org/10.1051/epjconf/202533004005
Model in the Loop Optimization of Classic Cruise Control into Cooperative ACC
1 LSIB Laboratory, FST, Hassan II University of Casablanca, Mohammedia 28806, Morocco
2 Mohammadia School of Engineering, Electrical Engineering Department, Mohammed V University, Rabat 10090, Morocco
* Corresponding author: medaminetahiri1@gmail.com
Published online: 30 June 2025
The introduction of Cruise Control revolutionized driving by maintaining a steady speed without constant accelerator adjustments. However, Cruise Control couldn't adapt to traffic conditions or maintain safe distances. Adaptive Cruise Control improved on this by using sensors to detect and adjust speed based on the car in front, adapting to traffic flow. Even with these technologies, the systems still struggle to manage the time interval during rapid changes in speed, which can lead to instability or even collisions. These problems are solved with Cooperative Adaptive Cruise Control by enabling communication between vehicles, to optimize speed and safety in real time. This paper presents a proof-of-concept design for longitudinal vehicle speed control following Model-in-the-Loop simulations. It aims to emphasize the shift from traditional cruise control to cooperative adaptive cruise control and exemplify the value and promises these strategies offer in modern vehicle systems.
© The Authors, published by EDP Sciences, 2025
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