A risk-based driver behaviour model

Current driver behaviour models (DBMs) are primarily designed for the general driver population under specific scenarios, such as car following or lane changing. Hence DBMs capturing individual behaviour under various scenarios are lacking. This paper presents a novel method to quantify individual perceived driving risk in the longitudinal...

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

The operation of automated vehicles (AVs) on shared roads requires attention concerning their interactions with vulnerable road users (VRUs), such as cyclists. This study investigates the safety of cyclists when they interact with an AV and compares it with their interaction with a conventional vehicle. Overall, 29 cyclists participated in a...

(Mis-)use of standard Autopilot and Full Self-Driving (FSD) Beta: Results from interviews with users of Tesla's FSD Beta

Tesla's Full Self-Driving Beta (FSD) program introduces technology that extends the operational design domain of standard Autopilot from highways to urban roads. This research conducted 103 in-depth semi-structured interviews with users of Tesla's FSD Beta and standard Autopilot to evaluate the impact on user behavior and perception. It was...

A conceptual model to explain, predict, and improve user acceptance of driverless 4P vehicles

This paper represents a synthesis of existing empirical acceptance studies on automated driving and scientific literature on technology acceptance. The objective of this paper is to study user acceptance of driverless vehicles that fall into SAE level 4, as they operate within the constraints of dedicated infrastructure. The review indicates...