互动风险 (IR):基于多式联运轨迹预测和驾驶风险领域的CAV的通向安全指标
Junkai Jiang1, Zhiyuan Liu1, Hao Cheng1
1School of Vehicle and Mobility, Tsinghua University, 100084 Beijing, China.
Accident; analysis and prevention
|September 10, 2025
概括
一个新的安全指标,互动风险 (IR),评估了连接和自动驾驶汽车 (CAV) 的全方位风险. 红外传感改进了碰撞检测和风险评估,提高了整体交通安全.
科学领域:
- 交通安全和自主系统.
- 风险评估方法 风险评估方法
- 车辆动力学和控制系统
背景情况:
- 交通事故对人类生命和财产构成重大风险.
- 现有的车辆安全指标缺乏全方位评估,也没有考虑到意图的不确定性.
- 互联和自动驾驶汽车 (CAV) 的兴起需要先进的风险评估工具.
研究的目的:
- 引入一种全新的通向安全指标,即交互式风险 (IR).
- 通过结合车辆意图的不确定性来解决当前安全指标的局限性.
- 为CAV提供全面的交通风险测量.
主要方法:
- 通过将驾驶风险场概念与多式联运轨迹预测相结合,开发了交互式风险 (IR).
- 量化事故概率和严重程度,整合车辆意图的不确定性.
- 通过对碰撞场景的案例研究和与模拟和真实世界数据集的实验验证实IR.
主要成果:
- IR准确地反映了CAV的风险水平.
- 与基线指标相比,新的指标可以更早地检测碰撞风险.
- 在风险感知方面,IR与人类直觉更紧密地结合在一起.
结论:
- 交互式风险 (IR) 提供了一种更全面,更直观的方法来评估CAV的交通安全.
- 在交通风险监测,自我车辆警告和决策评估方面,IR具有潜在的应用.
- 这一指标可以显著提高动态交通环境中的安全性,并指导未来的自动驾驶汽车研究.
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