How do the recognizability and driving styles of automated vehicles affect human drivers’ gap acceptance at T- Intersections?

• Human drivers’ gap acceptance behavior was studied in a driving simulator. Traffic included human driven vehicles and automated (AVs) Recognizable aggressive AVs resulted larger accepted critical gaps. Non-recognizable smaller Results suggest that AVs' appearance styles affect behavior. Future traffic will be composed of both human-driven (HDVs) (AVs). To accurately predict the performance mixed traffic, an important aspect is describing HDV when interacting with AVs. A few exploratory studies show HDVs change their AVs, being influenced by factors such as recognizability style Unsignalized priority intersections can significantly flow efficiency safety road network. understand at unsignalized T -intersections, simulator experiment set up which 95 drivers took part it. The route three -intersections where had to give on major road. participants drove different scenarios varied whether were recognizable or not, (Aggressive Defensive). results showed having , gaps (and gaps) merging front compared either defensive (composed defensive). This not case same scenarios. Drivers non-recognizable findings depending combined effect including accepting shorter changing original could have implications for intersections. Decision makers must carefully consider behavioral adaptations before implementing any policy changes related infrastructure.