Should Steering Settings be Changed by the Driver or by the Vehicle Itself?

Introduction: Cars are increasingly computerized, and vehicle settings such as steering gain (SG) can now be altered during driving. However, it is unknown whether transitions in SG should be adaptable (i.e., triggered by driver input) or adaptive (i.e., triggered automatically). We examined this question for road segments expected to require...

Haptic shared steering control with an adaptive level of authority based on time-to-line crossing

Traditional driver-automation interaction trades control over the vehicle back and forth between driver and automation. Haptic shared control offers an alternative by continuously sharing the control through torques on the steering wheel and pedals. When designing additional feedback torques, part of the design choice lies in the stiffness...

What determines drivers’ speed?: A replication of three behavioural adaptation experiments in a single driving simulator study

We conceptually replicated three highly cited experiments on speed adaptation, by measuring drivers’ experienced risk (galvanic skin response; GSR), experienced task difficulty (self-reported task effort; SRTE), and safety margins (time-to-line-crossing; TLC) in a single experiment. The three measures were compared using a nonparametric index...

Does haptic steering guidance instigate speeding? A driving simulator study into causes and remedies

An important issue in road traffic safety is that drivers show adverse behavioral adaptation (BA) to driver assistance systems. Haptic steering guidance is an upcoming assistance system which facilitates lanekeeping performance while keeping drivers in the loop, and which may be particularly prone to BA.<br/>Thus far, experiments on haptic...

Admittance-adaptive model-based approach to mitigate biodynamic feedthrough

Biodynamic feedthrough (BDFT) refers to the feedthrough of vehicle accelerations through the human body, leading to involuntary control device inputs. BDFT impairs control performance in a large range of vehicles under various circumstances. Research shows that BDFT strongly depends on adaptations in the neuromuscular admittance dynamics of the...

Manual control cybernetics: State-of-the-art and current trends

Manual control cybernetics aims to understand and describe how humans control vehicles and devices using mathematical models of human control dynamics. This &amp;#x201C;cybernetic approach&amp;#x201D; enables objective and quantitative comparisons of human behavior, and allows a systematic optimization of human control interfaces and training...

A human-like steering model: Sensitive to uncertainty in the environment

The interaction between a human driver and an automated driving system may improve when the automation is designed in such a way that it behaves in a human-like manner. This paper introduces a human-like steering model, in which the driver adapts to the risk due to uncertainty in the environment. Current steering models take a risk-neutral...