One of the main challenges autonomous vehicles (AVs) will face is interacting with pedestrians, especially at unmarked midblock locations where the right-of-way is unspecified. This study investigates pedestrian crossing behavior given different roadway centerline features (i.e., undivided, two-way left-turn lane (TWLTL), and median) and various AV operational schemes portrayed to pedestrians through on-vehicle signals (i.e., no signal, yellow negotiating indication, and yellow/blue negotiating/no-yield indications). This study employs virtual reality to simulate an urban unmarked midblock environment where pedestrians interact with AVs. Results demonstrate that both roadway centerline design features and AV operations and signaling significantly impact pedestrian unmarked midblock crossing behavior, including the waiting time at the curb, waiting time in the middle of the road, and the total crossing time. But only the roadway centerline features significantly impact the walking time. Participants in the undivided scene spent a longer time waiting at the curb and walking on the road than in the median and TWLTL scenes, but they spent a shorter time waiting in the middle. Compared to the AV without a signal, the design of yellow signal significantly reduced pedestrian waiting time at the curb and in the middle. But yellow/blue significantly increased the pedestrian waiting time. Interaction effects between roadway centerline design features and AV operations and signaling are significant only for waiting time in the middle. For middle waiting time, yellow/blue signals had the most impact on the median road type and the least on the undivided road. Demographics, past behaviors, and walking exposure are also explored. Older individuals tend to wait longer, and pedestrian past crossing behaviors and past walking exposures do not significantly impact pedestrian walking behavior.
翻译:自动驾驶汽车(AV)面临的主要挑战之一是与行人互动,特别是在未标记中段位置,其中权利通行未确定。本研究调查了不同道路中心线设计特征(即未分隔、双向左转道(TWLTL)和分隔岛)和通过车辆信号展示给行人的各种AV操作方案下的行人过马路行为(即无信号、黄色协商指示和黄蓝色协商/不让行指示)。本研究采用虚拟现实来模拟行人与AV互动的城市未标记中段环境。结果表明,道路中心线设计特征和AV操作和信号显著影响行人未标记中段过马路行为,包括路缘等待时间、道路中间等待时间和总过马路时间。但只有道路中心线特征显著影响步行时间。未分隔场景中的参与者在路缘等待时间和路上行走时间方面比中心和TWLTL场景花费更长的时间,但他们在中间等待的时间更短。与不带信号的AV相比,黄色信号的设计显著减少了行人在路缘和中间的等待时间。但黄蓝色显著增加了行人的等待时间。道路中心线设计特征和AV操作和信号之间的交互作用仅对中间等待时间产生显著影响。对于中间等待时间,黄蓝色信号对分隔岛道路类型的影响最大,对未分隔道路类型的影响最小。还探讨了人口统计学、过去行为及步行暴露度。年长者倾向于等待更长时间,而行人过去的横穿行为和过去的步行暴露度对行人步行行为没有显著影响。