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Keynote Lectures

Nationwide Digital Twin: Innovation for Resilience and Sustainability
Markus Eisenhauer, Luxemburg Institute for Science and Technology, Luxembourg

Driving Automated Vehicles in Complex Conditions
Bart van Arem, TU Delft, Netherlands

Optimization, Modeling and Assessment of Smart City Transportation Systems
Hesham Rakha, Virginia Tech, United States

 

Nationwide Digital Twin: Innovation for Resilience and Sustainability

Markus Eisenhauer
Luxemburg Institute for Science and Technology
Luxembourg
 

Brief Bio
Markus Eisenhauer studied Psychology and Informatics at the University of Trier in Germany and received a PhD in Cognitive Psychology at the same University. Since 2020, he works as Director of IT FOR INNOVATIVE SERVICES (ITIS) at the Luxemburg Institute for Science and Technology (LIST).
Prior to that, he worked for almost 20 years at the Fraunhofer Institute for Applied Information Technology (Fraunhofer FIT). There, he was Division Manager of the User-Centered Computing department for more than 10 years and Head of the User-Centered Ubiquitous Computing department.
Markus has relevant expertise particularly in the fields of embedded systems, cyber-physical systems, Internet of Things and Industry 4.0. He is also an expert in User-Centric Design, as well as M2M and HM-Interaction and Usability.
Dr. Eisenhauer has been the coordinator of several major European Projects and has participated in a multitude of large-scale national and European projects (German Industry 4.0 and European IoT). He works as a Program Chair for international conferences, editor of scientific journals and as an expert for the European Commission.


Abstract
The presentation introduces the initiative launched by LIST and highlights its opportunities to contribute to innovation, sustainability and resilience in the heart of Europe. It will also focus on its realisation in the form of a socio-technical system with the human being in the centre. The main focus will be on the impact and opportunities to improve the resilience and sustainability of individual systems as well as that of a whole country and to highlight the great innovation potential for individual sectors of the economy as well as the country.



 

 

Driving Automated Vehicles in Complex Conditions

Bart van Arem
TU Delft
Netherlands
 

Brief Bio
Bart van Arem  https://www.linkedin.com/in/bartvanarem/ was appointed full professor Transport Modelling at Delft University of Technology in 2009. His research focuses on analysing and modelling the implications of intelligent vehicles. Such implications vary from human factors to traffic flow on roads, networks and land use. The research has a strong modelling and simulation component based on empirics wherever possible using our instrument vehicles and driving simulator. He is Priniciple Investigator of the projects Spatial and Transport Impacts of Automated Driving STAD (www.stad.tudelft.nl) and Meaningful Human Control over Automated Driving Systems MHC-ADS https://www.tudelft.nl/citg/over-faculteit/afdelingen/transport-planning/research/projects/mhc-ads/. Since 2011, Bart van Arem also serves as director of the TU Delft Transport Institute and deputy chair of the department Transport & Planning since 2018. He is the Scientific Chair of the ITS in Europe congress and Founding Editor in Chief of the IEEE Open Journal of Intelligent Transport Systems OJ-ITS https://www.ieee-itss.org/oj-its


Abstract
This keynote lecture will focus on human interaction with automated vehicles, with focus in the higher levels of automation. If the human in the driver’s seat is not driving, who or what is responsible for the driving? And how do we design smart and safe driving strategies for that. We present a multidisciplinary approach from philosophy, behavioural science and traffic and control engineering.  We present examples dealing with control transitions and supervised automation applied to interactions between drivers and vehicles, but also to situations in which a vehciles interacts with other vehicles, pedestrians and bicycles. We conclude by summarising available theories, methods and results and  provide directions for future research.



 

 

Optimization, Modeling and Assessment of Smart City Transportation Systems

Hesham Rakha
Virginia Tech
United States
 

Brief Bio
The transportation system has evolved into a complex Cyber Physical System (CPS) with the introduction of wireless communication and the emergence of connected travelers and Connected Automated Vehicles (CAVs). The talk will discuss the challenges associated with multi-modal transportation system optimization and modeling, the integrated modeling of the transportation and communication systems, some research in the area of multi-objective CAV optimization, and some research in CAV-enabled traffic signal control.


Abstract
The transportation system has evolved into a complex Cyber Physical System (CPS) with the introduction of wireless communication and the emergence of connected travelers and Connected Automated Vehicles (CAVs). The talk will discuss the challenges associated with multi-modal transportation system optimization and modeling, the integrated modeling of the transportation and communication systems, some research in the area of multi-objective CAV optimization, and some research in CAV-enabled traffic signal control.



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