September 25, 2025Open Access

Human-Centered Design for Connected Automation: Predicting Pedestrian Crossing Intentions

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Online survey reveals that perceived safety and understanding predict pedestrian crossing intentions, indicating key design needs for eHMIs.

Study finds that perceived safety significantly influences pedestrians' crossing intentions when interacting with automated driving systems.
Data from an online survey of 212 participants show that perceived behavioral control and attitude are significant predictors of crossing intentions.
Research incorporates the Theory of Planned Behavior alongside external factors like trust and compatibility to model decision-making in traffic scenarios.
Designing effective eHMIs and V2X strategies is crucial for facilitating safe interactions between pedestrians and automated vehicles.

Motamedi et al. (2025) studied this question.

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Online survey reveals that perceived safety and understanding predict pedestrian crossing intentions, indicating key design needs for eHMIs.