评估固定轨道上自动驾驶汽车实验中的共享空间行人风险
Evaluating Pedestrian Risks in Shared Spaces Through Autonomous Vehicle Experiments on a Fixed Track
AI总结:
本研究通过固定轨道上的自动驾驶汽车实验,探讨共享空间中行人面对警报系统的反应,验证了其他情境的安全措施可适用于有轨电车共享空间,以降低无管制交叉路口风险。
摘要:
关于自动驾驶汽车安全性的研究大多在结构化和受控环境中进行。然而,在无管制的行人区域,尤其是与有轨电车等公共交通车辆交互时的安全性研究却十分匮乏。本研究通过使用自动驾驶汽车在环境中复现这一现实场景,调查了行人对此情境下警报系统的反应。结果表明,其他情境下的安全措施可以适用于有轨电车的共享空间,在这些空间中,固定轨道加剧了无管制交叉路口的风险。
英文摘要:
The majority of research on safety in autonomous vehicles has been conducted in structured and controlled environments. However, there is a scarcity of research on safety in unregulated pedestrian areas, especially when interacting with public transport vehicles like trams. This study investigates pedestrian responses to an alert system in this context by replicating this real-world scenario in an environment using an autonomous vehicle. The results show that safety measures from other contexts can be adapted to shared spaces with trams, where fixed tracks heighten risks in unregulated crossings.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。