Explainable AI Methods for Human Centric RIDEshaRing (EC-RIDER)

Partner: Technische Universität Clausthal (Germany), Bar-Ilan University (Israel), Ariel University (Israel), Technische Universität Braunschweig (Germany)

Project duration: 03/2019-02/2020

Funding: VolkswagenStiftung

Methods: Data Collection, Data Analysis and Interviews

Summary:
Together with an interdisciplinary and international consortium of five universities, the Smart Mobility Research Group forms a team to explore research issues and approaches in the area of “Artificial Intelligence (AI) and the society of the future.”
In particular, the project EC-RIDER studies and creates novel advanced and explainable Artificial Intelligence methods for solving problems in the realm of shared urban mobility and by validating them on a selected ride- or vehicle-sharing scenarios.