This study is aimed at validating a driving simulator for study of driver behavior in work zones. Previous studies had indicated the lack of safe vantage points at critical locations as a challenge in validation of driving simulators. For comprehensive validation of the driving simulator, a framework is proposed which is demonstrated using a fixedbase driving simulator. Objective and subjective...

The purpose of this study was to establish and validate a driving simulator method for assessing drug effects on driving. To achieve this, we used ethanol as a positive control, and examined whether ethanol affects driving performance in the simulator, and whether these effects are consistent with performance during real driving on a test track, also under the influence of ethanol. Twenty healt...

OBJECTIVE There is a high risk of vehicular crashes, traffic citations, and poorer driving performance in adults with ADHD. This pilot study examines the value of a new nonstimulant (atomoxetine) for improving the driving performance of adults with ADHD. METHOD Atomoxetine (1.2 mg/kg daily for 3 weeks) and a placebo are studied on 18 adults with ADHD (M age = 37 years) using ratings of ADHD s...

The paper is focused on an introduction of a set of experiments focused on objective methods used for detection of driving impairment caused by influence of different level of alcohol in blood. It introduces the initial experiments which were performed on our driving simulators; it describes proposed methodology of measurements and data analysis. It covers also the issues of testing track creat...

The effect of recent experience on current behavior has been studied extensively in simple laboratory tasks. We explore the nature of sequential effects in the more naturalistic setting of automobile driving. Driving is a safety-critical task in which delayed response times may have severe consequences. Using a realistic driving simulator, we find significant sequential effects in pedal-press r...

comma.ai’s approach to Artificial Intelligence for self-driving cars1 is based on an agent that learns to clone driver behaviors and plans maneuvers by simulating future events in the road. This paper illustrates one of our research approaches for driving simulation. One where we learn to simulate. Here we investigate variational autoencoders with classical and learned cost functions using gene...

This paper explains the effect of a motion platform closed loop control comparing to the static condition for driving simulators on postural instability. The postural instabilities of the participants (N=18, 15 male and 3 female subjects) were measured as lateral displacements of subject body centre of pressure (YCP ) just before and after each driving session via a balance platform. After havi...

A hi-fidelity driving simulator with the 300 degree screen and an actual vehicle cabin on hexapod motion platform has been developed in order to measure driving behavior, including visual behavior, in town environment. For measuring the driving behavior, various driving parameters were recorded. The eye glancing direction was detected by combining the eyetracking system and the head-tracking sy...