Autor: |
Guosi Liu, Shaoyi Bei, Bo Li, Tao Liu, Walid Daoud, Haoran Tang, Jinfei Guo, Zhaoxin Zhu |
Jazyk: |
angličtina |
Rok vydání: |
2023 |
Předmět: |
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Zdroj: |
World Electric Vehicle Journal, Vol 14, Iss 6, p 150 (2023) |
Druh dokumentu: |
article |
ISSN: |
2032-6653 |
DOI: |
10.3390/wevj14060150 |
Popis: |
In this paper, a new collision avoidance switching system is proposed to address the lack of adaptability of intelligent vehicles under different collision avoidance operating conditions. To ensure the rationality of the collision avoidance switching strategy for intelligent vehicles, the NGSIM road dataset is introduced to analyse the driver’s collision avoidance behaviour, and a two-layer fuzzy controller considering the overlap rate is established to design the collision avoidance switching strategy. In order to achieve real-time collision avoidance system activation, a lane change collision avoidance model based on MPC control is also developed. Finally, a simulation environment was created using Matlab/CarSim for simulation verification. The simulation results show that the collision avoidance switching system is more responsive and has a shorter start-up distance and is more adaptable to different driving conditions. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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