49 citations · 59 across the 11 of their papers we have counts for
11 papers
Linking Behaviour and Perception to Evaluate Meaningful Human Control over Partially Automated Driving
Ashwin George, Lucas Elbert Suryana, Lorenzo Flipse +5
Partial driving automation creates a tension: drivers remain legally responsible while being less active in control. Meaningful human control (MHC), a normative framework that can…
Beyond Conservative Automated Driving in Multi-Agent Scenarios via Coupled Model Predictive Control and Deep Reinforcement Learning
Saeed Rahmani, Gözde Körpe, Zhenlin +4
Automated driving at unsignalized intersections is challenging due to complex multi-vehicle interactions and the need to balance safety and efficiency. Model Predictive Control (MP…
CARE Drive A Framework for Evaluating Reason-Responsiveness of Vision Language Models in Automated Driving
Lucas Elbert Suryana, Farah Bierenga, Sanne van Buuren +6
Foundation models, including vision language models, are increasingly used in automated driving to interpret scenes, recommend actions, and generate natural language explanations.…
A Framework for Ethical Decision-Making in Automated Vehicles through Human Reasons-based Supervision
Lucas Elbert Suryana, Saeed Rahmani, Simeon Craig Calvert +2
Ethical dilemmas are a common challenge in everyday driving, requiring human drivers to balance competing priorities such as safety, efficiency, and rule compliance. However, much…
Principles and Reasons Behind Automated Vehicle Decisions in Ethically Ambiguous Everyday Scenarios
Lucas Elbert Suryana, Simeon Calvert, Arkady Zgonnikov +1
Automated vehicles (AVs) increasingly encounter ethically ambiguous situations in everyday driving--scenarios involving conflicting human interests and lacking clearly optimal cour…
Towards Developing Socially Compliant Automated Vehicles: Advances, Expert Insights, and A Conceptual Framework
Yongqi Dong, Bart van Arem, Haneen Farah
Automated Vehicles (AVs) hold promise for revolutionizing transportation by improving road safety, traffic efficiency, and overall mobility. Despite the steady advancement in high-…
Automated Vehicles at Unsignalized Intersections: Safety and Efficiency Implications of Mixed Human and Automated Traffic
Saeed Rahmani, Zhenlin Xu, Simeon C. Calvert +1
The integration of automated vehicles (AVs) into transportation systems presents an unprecedented opportunity to enhance road safety and efficiency. However, understanding the inte…
A Hybrid Spatial-temporal Deep Learning Architecture for Lane Detection
Yongqi Dong, Sandeep Patil, Bart van Arem +1
Accurate and reliable lane detection is vital for the safe performance of lane-keeping assistance and lane departure warning systems. However, under certain challenging circumstanc…
Ride Acceptance Behaviour of Ride-sourcing Drivers
Peyman Ashkrof, Gonçalo Homem de Almeida Correia, Oded Cats +1
The performance of ride-sourcing services such as Uber and Lyft is determined by the collective choices of individual drivers who are not only chauffeurs but private fleet provider…
Managing connected and automated vehicles with flexible routing at "lane-allocation-free'' intersections
Wanjing Ma, Ruochen Hao, Chunhui Yu +2
Trajectory planning and coordination for connected and automated vehicles (CAVs) have been studied at isolated ``signal-free'' intersections and in ``signal-free'' corridors under…
Generalized Multivariate Extreme Value Models for Explicit Route Choice Sets
Erik-Sander Smits, Adam J. Pel, Michiel C. J. Bliemer +1
This paper analyses a class of route choice models with closed-form probability expressions, namely, Generalized Multivariate Extreme Value (GMEV) models. A large group of these mo…