Pedestrians’ acceptance of automated vehicles (AVs) depends on their trust in the AVs. We developed a model of pedestrians’ trust in AVs based on AV driving behavior and traffic signal presence. To empirically verify this model, we conducted a human-subject study with 30 participants in a virtual reality environment. The study manipulated two factors: AV driving behavior (defensive, normal, and aggressive) and the crosswalk type (signalized and unsignalized crossing). Results indicate that pedestrians’ trust in AVs was influenced by AV driving behavior as well as the presence of a signal light. In addition, the impact of the AV’s driving behavior on trust in the AV depended on the presence of a signal light. There were also strong correlations between trust in AVs and certain observable trusting behaviors such as pedestrian gaze at certain areas/objects, pedestrian distance to collision, and pedestrian jaywalking time. We also present implications for design and future research.Toyota Research InstituteNational Science FoundationPeer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/151794/1/TRI_Frontiers_in_Robotics_and_AI_finalPublicCopyOct 25 2019.pdfDescription of TRI_Frontiers_in_Robotics_and_AI_finalPublicCopyOct 25 2019.pdf : Accepted file