Current Adaptive Cruise Control (ACC) systems do not fully consider comfort during driving and adaptability in complex traffic environments, overlooking the differences brought about by different driving conditions. To address this issue, this paper first constructs a longitudinal vehicle dynamics model, switching logic for driving and braking, and an inverse dynamics model, and establishes a lower controller with feedforward plus PID feedback. Then, based on fuzzy theory, a model design and construction of the ACC system's upper controller were carried out. Finally, a CarSim/Simulink joint simulation platform was established to simulate and verify the ACC system designed in this paper. The results show that the ACC system under joint simulation effectively achieves optimization and improvement of vehicle following performance, adaptability, safety, and comfort under different operating conditions.
Research on adaptive cruise control strategy adapted to vehicle driving conditions
International Conference on Smart Transportation and City Engineering (STCE 2024) ; 2024 ; Chongqing, China
Proc. SPIE ; 13575
2025-04-28
Conference paper
Electronic Resource
English
STUDY ON VEHICULAR ADAPTIVE CRUISE CONTROL IN COMPLICATED DRIVING CONDITIONS
British Library Conference Proceedings | 2018
|Extending Adaptive Cruise Control to Adaptive Driving Strategies
Transportation Research Record | 2007
|