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Keynote Lectures

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

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


 

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 A. Rakha
Virginia Tech
United States
 

Brief Bio
Hesham Rakha, an IEEE Fellow, is the Samuel Reynolds Pritchard Professor of Engineering and a Courtesy Professor in the Electrical and Computer Engineering at Virginia Tech, and the director of the Center for Sustainable Mobility at the Virginia Tech Transportation Institute. He works on optimizing transportation system operations, including vehicle routing, developing various network and traffic signal control algorithms, developing freeway control strategies (speed harmonization and ramp metering), and optimizing vehicle motion (lateral and longitudinal control of connected automated vehicles (CAVs)) to reduce their energy consumption while ensuring their safety.


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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