等待或穿越？理解行为倾向、信任和风险感知对自动驾驶卡车编队行人穿行接受度的影响
Wait or cross? Understanding the influence of behavioral tendency, trust, and risk perception on pedestrian gap-acceptance of automated truck platoons
AI总结：
研究探讨了行为倾向、信任和风险感知对行人穿行自动驾驶卡车编队的影响，发现风险感知在决策中起主导作用，且影响行为倾向和信任对穿行接受度的作用。
摘要：
尽管自动驾驶卡车有潜力提高货运效率、降低成本并解决司机短缺问题，但将两辆或更多卡车编队行驶却引发了行人安全的广泛关注。本研究进行了一项受控实验，以考察行为倾向、信任和风险感知对行人在自动驾驶卡车编队前穿行意图的影响。共有603名参与者参加了基于虚拟现实视频的问卷调查。通过结合结构方程建模和人工神经网络的优点，开发了一个两阶段混合模型，以研究潜在变量与穿行接受行为之间的复杂关系。我们的结果显示，参与者平均观察了五个车辆间隙后才开始穿行，平均接受的时间间隙约为5.35秒。风险感知不仅在塑造行人穿行决策中发挥了最主导的作用，还充当了强骨，调解了行为倾向和信任对穿行接受度的影响。经常违反交通规则的参与者更可能接受较小的时间间隙，而表现出对其他道路使用者积极行为的参与者则倾向于等待更长的时间间隙。经常犯错误、表现出攻击性行为且对自动驾驶卡车安全性的信任度较高的参与者，通常报告在自动驾驶卡车编队前穿行时的风险水平较低。基于这些发现，提出了一系列定制化的应对措施，以确保行人与自动驾驶卡车编队之间更安全和更顺畅的互动。
英文摘要：
Although automated trucks have the potential to improve freight efficiency, reduce costs, and address driver shortages, organizing two or more trucks in a convoy has raised considerable concerns for pedestrian safety. This study conducted a controlled experiment to examine the influence of behavioral tendency, trust, and risk perception on pedestrian intention to cross in front of an automated truck platoon. A total of 603 subjects participated in the virtual reality video-based questionnaire survey. By fusing the merits of structural equation modeling and artificial neural networks, a two-stage, hybrid model was developed to examine complex relationships between latent variables and gap-acceptance behaviors. Our results indicated that subjects watched an average of five vehicle gaps before starting crossing and the average time gap accepted was about 5.35 seconds. Risk perception not only played the most dominant role in shaping pedestrian crossing decisions, but also served as the strong bone, mediating the effects of behavioral tendency and trust on gap-acceptance. Participants who frequently violated traffic rules were more likely to accept a smaller time gap, while those who showed positive behaviors to other road users tended to wait for a larger time gap. Participants who often committed errors, showed aggressive behaviors, and held greater trust in the safety of automated trucks generally reported a lower level of risk for road-crossing in front of automated truck platoons. Built on these findings, a range of tailored countermeasures were proposed to ensure safer and smother interactions between pedestrians and automated truck platoons.
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。
