通过动态风险信息驱动的自动驾驶车辆的规则适应变速轨道规划方法
Junyang Zhao1, Xingxu Yan2, Zhaofa Zhou2
1Missile Engineering College, Rocket Force University of Engineering, Xi'an, 710025, China. zhaojy802@sina.com.
Scientific reports
|August 26, 2025
概括
自动驾驶汽车现在可以通过基于实时风险评估动态调整安全约束来提高驾驶效率. 这种适应性轨道规划方法提高了复杂交通中的效率而不会损害安全性.
科学领域:
- 机器人技术
- 人工智能
- 汽车工程
背景情况:
- 自动驾驶技术面临着在动态交通中平衡安全和效率的挑战.
- 现有的轨道规划方法通常使用固定的安全约束,限制驾驶效率.
- 车辆悬架的特性显著影响驾驶安全和稳定性.
研究的目的:
- 为自动驾驶汽车 (AV) 提出基于风险信息的动态适应性轨迹规划方法.
- 通过根据风险评估调整安全约束来提高驾驶效率.
- 确保驾驶安全,同时提高效率.
主要方法:
- 使用三向合动态模型开发了碰撞和不稳定风险评估指数.
- 实施安全风险评估模块来评估潜在的风险.
- 整合适应性安全约束调整到轨道规划和优化中.
- 使用成本函数进行轨迹选择和优化.
主要成果:
- 拟议的方法根据实时风险评估进行了自适应性调整.
- 在不稳定性约束场景中,驾驶效率提高了55.9%.
- 在碰撞限制场景中,驾驶效率提高了27.86%.
- 在整个实验中保持了驾驶安全.
结论:
- 动态风险评估和适应性安全限制显著提高了自动驾驶的效率.
- 拟议的方法提供了一个可行的解决方案来提高复杂环境中的自动驾驶性能.
- 未来的研究可以进一步探讨汽车动态和风险评估的整合.
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