News

On 16 October, a new online meeting was organised to talk about progresses and next steps the Use Case 3 (UC3) in AI4CCAM, mainly involving CNRS and TTS Italia in the discussion.

The purpose of UC3 is to assess the degree of Vulnerable Road Users’ (VRUs) acceptance of Connected and Automated Vehicles exploring their interaction dynamics in a number of increasingly complex urban settings, where users will be immersed through a purposely designed experiment. When interacting with CAVs, VRUs will be prompted to take decisions (e.g., street crossing decisions when a CAV is approaching), while semi-quantitative data, also including physiological indicators, will be collected to assess acceptance rates in diverse scenarios.

The recent meeting highlighted the continued progress on UC3 user acceptance, with a focus on refining urban traffic environments and addressing challenges related to CARLA tool constraints, an open-source autonomous driving simulator used in AI4CCAM to create scenarios and attempt experiences.

TTS Italia, leading this Use Case, is playing a pivotal role in defining the environment descriptions and scenario dynamics, focusing on how vulnerable road users (VRUs) and connected automated vehicles (CAVs) will interact during experiments. TTS is also working on the methodologies for measuring key metrics using advanced devices like EMG and GSR, ensuring precise data collection.

CNRS is actively working on creating optimized urban traffic environments that meet the project’s requirements, exploring alternative setups to ensure efficient communication metrics and enhancing the VR scenarios. Despite some challenges, such as device limitations and physiological measurement dynamics, CNRS is making headway in overcoming these obstacles.

IRTSX took part in the discussion too, contributing to enhance scenario dynamics description.