交通安全的轨迹规划与动态的道德风险调整
Chengcan Liu1, Haohan Hu1, Tie Ma1
1School of Transportation, Southeast University, Nanjing, Jiangsu Province 211189, China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing, Jiangsu 211189, China.
Accident; analysis and prevention
|January 29, 2026
概括
这项研究介绍了连接和自动驾驶汽车的新型轨迹规划算法,其中包括用于定制风险平衡的"伦理按"和伦理原则的动态权重,以提高道路用户的安全性和文化适应性.
科学领域:
- 自主系统 自主系统
- 机器人技术 机器人技术 机器人技术
- 人工智能伦理学
背景情况:
- 目前用于互联和自动化车辆 (CAV) 的轨迹规划算法不足以解决所有道路使用者的伦理风险和文化差异.
- 现有的方法往往优先考虑自我车辆的安全,而不是更广泛的社会价值观和道德考虑.
研究的目的:
- 为CAVs提出一种新的轨迹规划算法,该算法可以动态集成伦理原则.
- 为了实现特定区域的伦理定制和自主系统中透明的伦理权衡.
主要方法:
- 开发一种"道德按"机制,以便在自我车辆和其他道路使用者之间进行灵活的风险权衡.
- 实施混合主观-客观权重方法,将分析层次过程和道德原则分配变化系数结合起来.
- 将道德框架集成到安全潜力现场模型中,以计算风险成本.
主要成果:
- 模拟表明,中立的"道德旋"设置可以将整体风险成本降到最低.
- 动态加权自动适应环境变化,优于静态方法.
- 该框架侧重于事故预防,避免预定义的伦理困境,如"托利车问题".
结论:
- 拟议的算法为自主系统提供了文化适应性和社会可接受的解决方案.
- 这种跨学科的方法有助于将道德考虑纳入CAV轨迹规划.
- 该框架促进透明的伦理权衡,增强对自动驾驶技术的信任.
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