The impact of the presence and utilization policy of a dedicated lane on drivers’ preference to use automation and driving behaviour on motorways

Characterizing Behavioral Differences of Autonomous Vehicles and Human-Driven Vehicles at Signalized Intersections Based on Waymo Open Dataset

Safety Assessment of the Interaction Between an Automated Vehicle and a Cyclist: A Controlled Field Test

A hybrid spatial–temporal deep learning architecture for lane detection

Behavioral adaptations of human drivers interacting with automated vehicles

Will pedestrians cross the road before an automated vehicle?: The effect of drivers’ attentiveness and presence on pedestrians’ road crossing behavior

Cyclists’ crossing intentions when interacting with automated vehicles: A virtual reality study

The impact of a dedicated lane for connected and automated vehicles on the behaviour of drivers of manual vehicles

The Persuasive Automobile: Design and Evaluation of a Persuasive Lane-Specific Advice Human Machine Interface

An Empirical Analysis to Assess the Operational Design Domain of Lane Keeping System Equipped Vehicles Combining Objective and Subjective Risk Measures

Adaptations in driver behaviour characteristics during control transitions from full-range Adaptive Cruise Control to manual driving: an on-road study

Design and operation of dedicated lanes for connected and automated vehicles on motorways: A conceptual framework and research agenda

Operational Design Domain Requirements for Improved Performance of Lane Assistance Systems: A Field Test Study in The Netherlands

HeartPy: A novel heart rate algorithm for the analysis of noisy signals

Analysing Noisy Driver Physiology Real-Time Using Off-the-Shelf Sensors: Heart Rate Analysis Software from the Taking the Fast Lane Project.

A Conceptual Model for Persuasive In-Vehicle Technology to Influence Tactical Level Driver Behaviour

Studying pedestrians’ crossing behavior when interacting with automated vehicles using virtual reality

Multi-level driver workload prediction using machine learning and off-the-shelf sensors

Modelling decisions of control transitions and target speed regulations in full-range Adaptive Cruise Control based on Risk Allostasis Theory

Resuming manual control or not? Modeling choices of control transitions in full-range adaptive cruise control