个性化主动避免碰撞轨迹规划和可变时间域控制,整合驾驶员特征
Xiaochuan Zhou1, Mengyue Qu1, Changzhi Zhou1
1Department of Vehicle Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, People's Republic of China.
Accident; analysis and prevention
|September 10, 2024
概括
这项研究引入了车辆的个性化避免碰撞控制,适应单个驾驶员的行为. 这种新型系统通过根据驾驶员的特点调整干预措施,改善轨迹跟踪和减少工作量来提高安全性和舒适性.
科学领域:
- 车辆主动安全系统
- 在汽车工程中的人机交互.
- 控制系统工程 控制系统工程
背景情况:
- 现有的驾驶辅助系统往往无法考虑到驾驶员的个性特征,从而限制了最佳性能和个性化干预.
- 有效避免碰撞需要适应不同驾驶行为和偏好的控制器.
研究的目的:
- 提出一种新的车辆主动避免碰撞控制策略,考虑个体驾驶员的特点.
- 通过个性化控制来提高驾驶员辅助系统的性能和舒适性.
主要方法:
- 收集和分析了10名司机的车道更改和避免碰撞的数据.
- 开发了一个综合性索引,集成轨迹跟踪和驾驶员负担,以描述驾驶员.
- 设计了一个个性化的时间变量域模型预测控制 (MPC) 包含驾驶员特定的轨迹.
主要成果:
- 根据驾驶员数据,得出了一个个性化的避免碰撞的特征曲线.
- 实施了优化驾驶员匹配和车辆稳定性的第六阶多项数轨迹规划方法.
- 驾驶员循环测试证实了个性化的MPC改进了轨迹跟踪和减少了驾驶员的工作量.
结论:
- 拟议的个性化MPC策略有效地与各种驾驶特征相匹配,以避免碰撞.
- 根据个别驾驶员量身定制的控制可以提高安全性,舒适性和整体驾驶体验.
- 这种方法代表了自适应驾驶辅助系统的重大进步.
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