Talk Title: i-DREAMS – A Ubiquitous Platform of Technologies for Safer Driving
Abstract:
Driver competence plays a crucial role in road safety. However, a driver’s capability is affected by numerous internal factors (e.g., age, experience and judgement), concurrent physical and psychological factors (fatigue and distractions) and external factors (weather, time of day, speed, road conditions and traffic volume). The aim of the EU-funded i-DREAMS project is to establish a driver and road environment assessment and monitoring system that will define a safety tolerance zone for drivers. By considering all driving-related influences, the system will gauge a driver’s ability to safely operate a vehicle. It will also provide real-time alerts during a trip and make recommendations after a trip (through a smartphone app) when tolerable limits are reached, thus mitigating driving risks.
To achieve this goal, a secure technological platform was set up consisting of in-vehicle sensors and interventions, wireless communication with cloud-based trip processing, scoring and gamifications systems, and end-user communication by means of a smartphone app and web dashboard. Within this ubiquitous computing system, own developments (both on the edge and in the cloud) are integrated with third party applications (e.g., OSM tiles) and hardware. Some of these components are time critical (e.g. in-vehicle safety interventions), while other components are non-time critical and are presented to the driver in an intelligent way (post-trip feedback and -interventions).
During this presentation, we delve deeper into the technological aspects of the i-DREAMS platform and will demonstrate some of its key functionalities.
About the Speaker
Dr. Yves Vanrompay is researcher-coordinator at the Transportation Research Institute (IMOB) of Hasselt University, Belgium, since 2015. He is responsible for the development and valorization of research and IT platforms related to smart mobility, traffic safety and mobility patterns. He obtained his Ms. Informatics in 2003, Ms. Artificial Intelligence in 2004 and Ms. Philosophy in 2019 from the Katholieke Universiteit Leuven. From 2005 to 2011 he was a researcher in the Embedded and Ubiquitous Systems taskforce of the Distrinet research group in the department of computer science of the Katholieke Universiteit Leuven, leading to a PhD in the domain of context-awareness and prediction. Then he worked as research manager at the Mathematics Applied to Systems Laboratory of Ecole Centrale Paris. His main research interests include context-aware systems, ambient intelligence, Semantic Web technologies, personalization and self-adaptive applications. He was involved in several European projects and co-authored over 50 peer-reviewed publications.
