The AutoTRUST project aims to develop and demonstrate a novel AI-leveraged self-adaptive framework of advanced vehicle technologies and solutions which optimize usability, perception, and experience on-board, and when boarding/off-boarding, in terms of security, privacy, well-being, health and assistance. AutoTRUST provides enhanced inclusiveness and trust in the interaction between users and new automated modes of road transport and mobility services in the transition from human-driven to automated vehicles. Safety and security of vehicle occupants in all circumstances even when the vehicle is driverless by helping to prevent dangerous and inconvenient situations will be of paramount importance. Intense cooperation between users, vehicle manufacturers, suppliers, researchers, and other stakeholders to co-design vehicles with solutions that optimize the on-board experience will be adopted. Moreover, an in-depth knowledge of the benefits of new vehicle technologies and solutions in terms of on-board experience, accessibility, inclusiveness, and trust will be acquired to enable wider user acceptability and contribute to the creation of future standards.

The proposed project aims for the development to market (TRL8-9) of EGNSS-based integrated low-cost sensor technologies and artificial-intelligence-driven open-architecture software solution (machine learning (ML) and machine vision (MV)), for the detection, classification, and georeferencing of roadway pavement surface anomalies and for the low-cost assessment of roadway pavements using participatory sensing. The proposed system is of practical importance since it provides continuous information about roadway pavement surface anomalies which are valuable for efficiently monitoring the transport infrastructure and for public safety. The vision for roadway condition assessment by utilization of smartphone-like technology is set in parallel with the hypothesis that such technology can be used for crowd-sourced data collection and analysis in GIS-based pavement management systems (PMS), and that the developed technology and related transport informatics are disruptive technologies that have the potential to reshape the transport and infrastructure O&M industries through the project objectives discussed in the proposal.