Meanwhile, for the first time, we specified a kind of traffic flow-induced effect where pedestrians optimise their decisions by comparing the perceived risk of different traffic gaps. Therefore, this study proposed a decision model for pedestrians interacting with traffic at uncontrolled intersections based on a human perception theory.
However, very limited existing approaches modelled pedestrian crossing behaviour from an anthropomorphic perspective. As a result, this emerging concern has given rise to extensive research into computational pedestrian behaviour models.
With the continuous advancement of automated vehicles (AVs), there is growing concern about how AVs interact with vulnerable road users, particularly pedestrians.
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