Learning to interpret novel eHMI: The effect of vehicle kinematics and eHMI familiarity on pedestrian’ crossing behavior

TL;DR: In this paper , a framework based on Social Value Orientation and Deep Reinforcement Learning (DRL) is introduced to tackle the problem of decision-making in the presence of pedestrians.

TL;DR: In this paper , the authors present five reasons why external human-machine interfaces (eHMI) may be useful or required: (1) eHMIs can make planned actions of the AV visible, thereby increasing the efficiency of pedestrian-AV interaction, participants value an eHMI compared to no EHMI, eHMI do not have to be limited to showing instructions or the AV's planned actions; showing the AV mode or theAV's cooperative or detection capabilities are other uses of eHIs, and recent research shows that driver eye contact is important in traffic, and a social interaction void thus exists.

TL;DR: In this article , the causal role of kinematics and priority rules on interaction outcome and behaviour was investigated in a CAVE-based pedestrian lab, where 64 participants (32 pairs of one driver and one pedestrian) interacted with each other under different scenarios.

TL;DR: In this article , the impact of implicit communication signals on pedestrians' subjective estimations of approaching vehicle behaviour across a wide range of experimental traffic scenarios and on their crossing decisions in the same scenarios through a comprehensive analysis was explored.

TL;DR: An eHMI increases the efficiency of pedestrian-AV interactions, and a textual display is regarded as the least ambiguous, which supports the development of automated vehicles that communicate with other road users.

TL;DR: In this article, the authors examined the road behavior of individual pedestrians at an intersection with a traffic signal compared to groups of pedestrians at the same intersection and found that males crossed on red more frequently than females.

TL;DR: The results seem to indicate that the effect of speed is due to a mixed operating mode of participants, whose decisions may be based on either time or vehicle distance, depending on the task requirements and on the participant's own ability to meet those requirements.

TL;DR: An external vehicle interface called automated vehicle interaction principle (AVIP) that communicates vehicles’ mode and intent to pedestrians is designed that could contribute to a positive experience and improved perceived safety in pedestrian encounters with AVs.