Holistic human-centred AV research

Understand road-user behaviour in AV interactions ESR1 – Understanding AV Predictability Using Neuroergonomics (Ulm)
ESR2 – Long Term Effects of Automation on User Behavior (TUM)
ESR3 – Classifying and Predicting Interactions Between AVs and VRUs Using AI (UGOT)
ESR4 – Long Term Effects of AV Exposure on AV/VRU Interactions (Leeds)
Develop AV interface design strategies ESR5 – Developing more acceptable, pleasant and transparent AV-kinematic cues for drivers (Leeds)
ESR6 –Internal Interface for Transparent and Agile Automation (Ulm)
ESR7 – Assessing AV Transparency (TUM)
ESR8 – Human Factors in AI-base Automation Design (UGOT)
ESR9 – Assessing Interactions Between AVs/VRUs Using Virtual/Augmented Reality (TU Delft)
ESR10 – HMI on bicycles, Promoting Transparent AV Interactions (TU Delft)
ESR11 – Cooperative Interaction Strategies Between AVs and Mixed Motorized Traffic (Ulm)
Assess safety in mixed traffic ESR12 – AV Occupants Perception of Safety in relation to AV behaviour(TU Delft) ESR13 – Computational AV/Pedestrian Interaction Models (Leeds)
ESR14 – Computational AV/Cyclist Interaction Models (Chalmers)
ESR15 – Safety Evaluation of Automation Using Counterfactual Simulations (Chalmers)