Tag: Professor of Intelligent Transport Systems

Distractions significantly delay remote drivers reaction time

February 17th, 2025: Level 4 automated vehicles can be controlled remotely by a specially trained remote driver using a teleoperation workstation. Led by Newcastle University, the study investigated how the remote drivers interact with self-driving vehicles in a real-world scenario. It focussed on the impacts of distraction and disengagement on driver performance. The experts found […]