The study used a modeling approach to analyze specific data regarding truck drivers and sleep apnea. The hypothesis tested was that "A driver diagnosed with sleep apnea is more likely to be involved in a motor vehicle crash than a driver with no history or symptoms of sleep apnea, after controlling for differences in the other predictor variables included in the model." The data gained in this ...

Overtaking a slow lead vehicle is a complex maneuver because of the variety of overtaking conditions and driver behavior. In this study, two novel prediction models for overtaking behavior are proposed. These models are derived based on multi-input multi-output adaptive neuro-fuzzy inference system (MANFIS). They are validated at microscopic level and are able to simulate and predict the fut...

In this work, a synergistic combination of deep reinforcement learning and hierarchical game theory is proposed as modeling framework for behavioral predictions drivers in highway driving scenarios. The presented work can be used high-fidelity traffic simulator consisting multiple human decision-makers. This reduce the time effort spent testing autonomous vehicles by allowing safe quick assessm...

A Bayesian network decision-making method is proposed by combining driver's eye-tracking data and vehicle-based data together to identify driver lane-changing intents. First, experiments are conducted in a driving simulator with eye-tracker device to obtain the data when a subject driver makes lane-changing maneuvers. Second, collected data are analyzed in machine learning method using Bayesian...

This paper presents a stochastic driver behavior modeling framework which takes into account both individual and general driving characteristics as one aggregate model. Patterns of individual driving styles are modeled using a Dirichlet process mixture model, as a non-parametric Bayesian approach which automatically selects the optimal number of model components to fit sparse observations of ea...

It is widely acknowledged that drivers should remain in the control loop of automated vehicles before they completely meet real-world operational conditions. This paper introduces an ‘indirect shared control’ scheme for steer-bywire vehicles, which allows the vehicle control authority to be continuously shared between the driver and automation through unphysical cooperation. This paper first ba...