Using Extreme Value Theory for the Prediction of Head-On Collisions During Passing Maneuvres. - Carlos Lima Azevedo; Haneen Farah (ITSC, 2015)

On Developing a Driver Identification Methodology Using In-Vehicle Data Recorders. - Luís Moreira-Matias; Haneen Farah (IEEE Trans. Intell. Transp. Syst., 2017)

Cyclists' Crossing Intentions When Interacting with Automated Vehicles: A Virtual Reality Study. - Juan Pablo Núñez Velasco; Anouk de Vries; Haneen Farah; Bart van Arem; Marjan P. Hagenzieker (Inf., 2021)

An Empirical Analysis to Assess the Operational Design Domain of Lane Keeping System Equipped Vehicles Combining Objective and Subjective Risk Measures. - Haneen Farah; Shubham Bhusari; Paul Van Gent; Freddy Antony Mullakkal Babu; Peter Morsink; Riender Happee; Bart van Arem (IEEE Trans. Intell. Transp. Syst., 2021)

Safety Performance Boundary Identification of Highly Automated Vehicles: A Surrogate Model-Based Gradient Descent Searching Approach. - Yiyun Wang; Rongjie Yu; Shuhan Qiu; Jian Sun 010; Haneen Farah (IEEE Trans. Intell. Transp. Syst., 2022)

Effect of eHMI on pedestrian road crossing behavior in shared space with Automated Vehicles - A Virtual Reality study. - Yan Feng; Haneen Farah; Bart van Arem (ITSC, 2023)

Modeling Gap Acceptance in Overtaking: A Cognitive Process Approach. - Samir H. A. Mohammad; Haneen Farah; Arkady Zgonnikov (ITSC, 2023)

Safe, Efficient, Comfort, and Energy-Saving Automated Driving Through Roundabout Based on Deep Reinforcement Learning. - Henan Yuan; Penghui Li; Bart van Arem; Liujiang Kang; Haneen Farah; Yongqi Dong (ITSC, 2023)

Social-Aware Planning and Control for Automated Vehicles Based on Driving Risk Field and Model Predictive Contouring Control: Driving Through Roundabouts as a Case Study. - Li Zhang; Yongqi Dong; Haneen Farah; Bart van Arem (SMC, 2023)

Which Visual Cues do Drivers Use to Anticipate and Slow Down in Freeway Curve Approach? An Eye-Tracking and Think-Aloud On-road Study - Dataset. - Johan Vos; Joost C. F. de Winter; Haneen Farah; Marjan P. Hagenzieker (4TU.Federation, 2023)

A cognitive process approach to modeling gap acceptance in overtaking. - Samir H. A. Mohammad; Haneen Farah; Arkady Zgonnikov (CoRR, 2023)

Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning. - Yongqi Dong; Xingmin Lu; Ruohan Li; Wei Song; Bart van Arem; Haneen Farah (CoRR, 2023)

Data-driven Semi-supervised Machine Learning with Surrogate Safety Measures for Abnormal Driving Behavior Detection. - Lanxin Zhang; Yongqi Dong; Haneen Farah; Arkady Zgonnikov; Bart van Arem (CoRR, 2023)

A hybrid spatial-temporal deep learning architecture for lane detection. - Yongqi Dong; Sandeep Patil; Bart van Arem; Haneen Farah (Comput. Aided Civ. Infrastructure Eng., 2023)

Guest Editorial Introduction to the Special Issue on Deployment of Connected and Automated Vehicles in Mixed Traffic Environment and the Implications on Traffic Safety and Efficiency. - Haneen Farah; Johan Janson Olstam; Zuduo Zheng (IEEE Trans. Intell. Transp. Syst., 2023)

Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations: Aspects to Consider and State of the Practice. - Haneen Farah; Ivan Postigo; Nagarjun Reddy; Yongqi Dong; Clas Rydergren; Narayana Raju; Johan Janson Olstam (IEEE Trans. Intell. Transp. Syst., 2023)

Towards self-aware vehicle automation for improved usability and safer automation mediation. - Gabriel Rodrigues de Campos; Alessia Knauss; Nikita Tanov; David Mano; Bram Bakker; Haneen Farah; Yufei Yuan; Stefan Andersson (IV, 2024)

Understanding cyclists' perception of driverless vehicles through eye-tracking and interviews. - Siri Hegna Berge; Joost C. F. de Winter; Dimitra Dodou; Amir Pooyan Afghari; Eleonora Papadimitriou; Nagarjun Reddy; Yongqi Dong; Narayana Raju; Haneen Farah (CoRR, 2024)

Towards Developing Socially Compliant Automated Vehicles: State of the Art, Experts Expectations, and A Conceptual Framework. - Yongqi Dong; Bart van Arem; Haneen Farah (CoRR, 2025)

Does Another Pedestrian Matter? A Virtual Reality Study on the Interaction Between Multiple Pedestrians and Autonomous Vehicles in Shared Space. - Yan Feng; Zhenlin Xu; Haneen Farah; Bart van Arem (IEEE Trans. Intell. Transp. Syst., 2025)