The questionnaire data were used to estimate individual specific behavioural latent variables by means of principal component analysis which resulted in three main factors named: violations, lapses, and trust in AVs. ![]() The subjects of the experiment were also asked to fill in a questionnaire about usual behaviour in traffic, as well as attitudes and risk perceptions toward crossing roads. ![]() The ABM allowed controlling the behaviour of the vehicles when interacting with the simulated avatar of the respondents. ![]() In some experimental configurations, the AVs communicated their intention to continue or not to continue their trajectories through the use of lights. Sixty participants were asked to cross the road in a virtual environment displayed on a computer screen, allowing to record their crossing behaviour when in the presence of AVs and conventional vehicles (CVs). For this purpose, a simulation experiment was developed using Agent-Based Modelling (ABM) techniques. The objective of this research is to explore the relation between personal characteristics of pedestrians and their crossing behaviour in front of an automated vehicle (AV).
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