arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2601.03218cs.HC

提升自动化港口的安全性:一项虚拟现实研究,探讨时间压力、视觉限制和不同车辆尺寸下行人与自动驾驶车辆的交互

Enhancing Safety in Automated Ports: A Virtual Reality Study of Pedestrian-Autonomous Vehicle Interactions under Time Pressure, Visual Constraints, and Varying Vehicle Size

Yuan Che, Mun On Wong, Xiaowei Gao, Haoyang Liang, Yun Ye

AI总结:

本研究通过虚拟现实实验探讨了时间压力、视觉限制和车辆尺寸对港口行人与自动驾驶车辆交互安全的影响,提出了提升港口自动驾驶系统安全性的策略。

摘要:

自动驾驶技术提升了交通效率,但在复杂的港口环境中却带来了安全挑战。本研究探讨了环境因素、交通因素和行人特征如何影响港口中自动驾驶车辆与行人之间的交互安全性。利用虚拟现实(VR)模拟典型港口场景,33名参与者在不同可见度、车辆尺寸和时间压力条件下完成了行人过马路任务。结果显示,低可见度条件、部分遮挡和较大车辆尺寸显著增加了感知风险,促使行人等待更长时间并接受更大的间隙。具体而言,行人与大型自动驾驶卡车编队交互时更倾向于接受较大的间隙并等待更长时间,反映出由于其感知威胁而产生的更高警惕性。然而,局部遮挡也会减少侵入后的时间,压缩安全边际。个体特征如年龄、性别和驾驶经验进一步影响决策,而时间压力会削弱补偿行为并增加风险。基于这些发现,提出了安全策略,包括在多个视角安装广角摄像头、实现车辆与基础设施的实时通信、增强港口照明和标识,以及加强行人安全培训。本研究为改进港口环境中基于视觉的自动驾驶系统安全性和部署提供了实用建议。

英文摘要:

Autonomous driving improves traffic efficiency but presents safety challenges in complex port environments. This study investigates how environmental factors, traffic factors, and pedestrian characteristics influence interaction safety between autonomous vehicles and pedestrians in ports. Using virtual reality (VR) simulations of typical port scenarios, 33 participants completed pedestrian crossing tasks under varying visibility, vehicle sizes, and time pressure conditions. Results indicate that low-visibility conditions, partial occlusions and larger vehicle sizes significantly increase perceived risk, prompting pedestrians to wait longer and accept larger gaps. Specifically, pedestrians tended to accept larger gaps and waited longer when interacting with large autonomous truck platoons, reflecting heightened caution due to their perceived threat. However, local obstructions also reduce post-encroachment time, compressing safety margins. Individual attributes such as age, gender, and driving experience further shape decision-making, while time pressure undermines compensatory behaviors and increases risk. Based on these findings, safety strategies are proposed, including installing wide-angle cameras at multiple viewpoints, enabling real-time vehicle-infrastructure communication, enhancing port lighting and signage, and strengthening pedestrian safety training. This study offers practical recommendations for improving the safety and deployment of vision-based autonomous systems in port settings.

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。

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