ADAPTIVE CRUISE CONTROL CONSIDERING THE VARIABILITY OF THE LEADING VEHICLE’S DRIVING CONDITIONS
Volume 7, Issue 4, Pp 14-20, 2025
DOI: https://doi.org/10.61784/ejst3097
Author(s)
Jun Wei, Lu Xiong*
Affiliation(s)
School of Automotive Studies, Tongji University, Shanghai 201804, China.
Corresponding Author
Lu Xiong
ABSTRACT
Due to the complex and variable driving conditions of the leading vehicle, it is difficult to control the distance between vehicles when following, resulting in poor driving comfort and safety. Based on this, this paper proposes an adaptive cruise control considering the variable driving conditions of the leading vehicle. Firstly, the longitudinal dynamics model of the self-vehicle is established using the Carsim software. Then, a safety distance model considering the speed of the vehicle in front is established, and the tracking control of the self-vehicle to the leading vehicle is realized based on model predictive control (MPC). Finally, the following vehicle simulation experiments are completed under different driving conditions of the leading vehicle. The results show that the adaptive cruise control strategy based on the improved safety distance model can achieve comfortable and safe following under different driving conditions of the leading vehicle.
KEYWORDS
Adaptive cruise control; Model predictive control; Dynamics model; Safety distance model
CITE THIS PAPER
Jun Wei, Lu Xiong. Adaptive cruise control considering the variability of the leading vehicle's driving conditions. Eurasia Journal of Science and Technology. 2025, 7(4): 14-20. DOI: https://doi.org/10.61784/ejst3097.
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