在2级自动驾驶过程中,不同的人机接口协助驾驶员行为,以避免后部碰撞
Bo Yang1, Takumi Saito1, Zheng Wang1
1Institute of Industrial Science, The University of Tokyo, Tokyo, Japan.
Traffic injury prevention
|June 20, 2023
概括
在2级自动驾驶中将静态和传感器人机接口 (HMI) 结合起来,可显著提高安全性. 这种HMI组合减少了制动减速,提高了驾驶员的注意力和安全感知.
科学领域:
- 人与计算机的互动.
- 汽车工程 汽车工程
- 认知心理学 认知心理学
背景情况:
- 2级自动驾驶系统 (ADS) 在复杂的场景中需要驾驶员干预.
- 人机界面 (HMI) 对于ADS中有效的驾驶员参与和安全至关重要.
- 了解HMI对驾驶员行为的影响对于安全部署ADS至关重要.
研究的目的:
- 评估静态和传感器HMI在2级自动驾驶期间对驾驶员干预的影响.
- 评估HMI在防止由突然切入造成的后端碰撞方面的有效性.
- 调查HMI对驾驶员注意力和安全感知的影响.
主要方法:
- 对20名参与者进行了一项驾驶模拟器研究.
- 测试了两个HMI:静态 (十字路口警告) 和传感器 (物体识别).
- 实验条件包括手动驾驶,没有HMI的L2 ADS,以及使用组合HMI的L2 ADS.
主要成果:
- 结合静态和传感器的HMI使得相似的避免碰撞能够显著减少制动减速.
- 没有HMI的L2 ADS导致比手动驾驶更大的减速.
- 驾驶员对道路的注意力和感知到的安全性在组合HMI时显著更高.
结论:
- 静态和传感器HMI的组合提高了2级自动驾驶中的驾驶安全.
- 集成的HMI提高了驾驶员的情境意识,减少了严厉制动的需要.
- 这种HMI战略支持在复杂的交通中更安全地应用自动驾驶.
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