View clinical trials related to Driving Impaired.
Filter by:Driving is a set of complex tasks and requires use of multiple cognitive domains, including attention, planning, and memory. In laboratory studies, the main psychoactive component in cannabis, delta-9-tetrahydrocannabinol (THC), was shown to impair short-term memory, attention, reaction time, tracking, and coordination, resulting, for instance, in significantly more deviations from the lane and increased break latency. Surveys and epidemiological studies suggest that cannabis consumption is associated with increased risks of collision. The current study aims to evaluate individual driving behavior and performance on various neurocognitive tests and their correlated neural networks while under the influence of cannabis and while sober. The investigators will use the STISIM driving simulator, which is fully MRI compatible, to study brain activation, while participants are performing various driving maneuvers. The goals of the study are: 1. identify driving performance and patterns in brain activation associated with cannabis exposure and compare them to brain patterns of the same participants while sober; 2. compare participant's performance on cognitive tasks while under the influence of cannabis and sober; 3. look for correlations between concentration of cannabinoids in the participants' blood and their driving performance and performance on cognitive tasks; 4. correlate demographic variables and personal history (e.g. tolerance to drug) with performance and brain activation while driving under the influence of cannabis.
This is a randomized blinded study to assess the sedative effect of 150 mg TID tolperisone and 10 mg TID cyclobenzaprine compared to placebo on simulated driving performance and cognitive functioning in healthy adult volunteers.
This project aims to demonstrate the feasibility of a scalable behavioral intervention using smartphone-paired breathalyzers and text message aimed at reducing drinking and driving among individuals who report heavy drinking. All participants receive a smartphone breathalyzer to provide feedback on their estimated blood alcohol level. The intervention compares loss- and gain-framed messages that make the consequences of drinking and driving more salient to standard messages not to drink and drive.
Parkinson's disease (PD) impacts an individual's fitness to drive in a number of ways that increase the crash risk in this population. Current vehicle automation technologies are available, that although designed for the general public, may help drivers with PD stay on the roads longer and safer than currently possible. Using a driving simulator (a safe and cost-effective alternative with no impact on licensing for participants), this study will investigate the feasibility and preliminary efficacy of utilizing in-vehicle technology (i.e., a simulated lane change assistance system) to address critical driving errors in individuals with mild to moderate Parkinson's disease.
A) The main purposes of this study are (i) to develop a related virtual reality (VR) environment in order to judge the nighttime driving ability under mesopic and under glare conditions (ophthalmologically healthy subjects and patients with incipient to intermediate cataract, i.e. opacities of the human lens, will participate in this study), (ii) to validate the above-mentioned VR environment with respect to a related on-road driving scenario under mesopic and glare conditions, (iii) to validate clinical photopic and mesopic contrast vision tests and glare tests with respect to the prediction of nighttime driving ability, (iv) to assess the test retest reliability of clinical photopic and mesopic contrast vision tests B) Background: An intact mesopic vision and a glare sensitivity within a normal range are essential pre-requisites for safe driving at nighttime (DOG & BVA, 2011). Anderson & Holiday (1995) have shown that (simulated) opacities of the refractive media (with only minor effects on daytime visual acuity) induce a pronounced impairment of contrast sensitivity under nighttime conditions. Especially under glare conditions by the headlights of traffic on the opposite lane or by stationary street illumination, an impairment of the mesopic vision may cause traffic hazards. The prevalence of impairments of the central visual acuity, the mesopic vision and the glare sensitivity is significantly higher for subjects being involved in nighttime traffic accidents (Lachenmayr, 1998). Furthermore, these impairments occur more frequently in aged drivers and are, among others, related to an increase of age-related media opacities (Aulhorn & Harms, 1970, Babizhayev, 2003). Due to the demographic change, the relevance of nighttime driving ability is increasing in the next years since more and more aged employees will participate at the motorized traffic at night. The German Fahrerlaubnisverordnung (FEV i.e. driving license regulation) specifies pass/fail criteria with regard to mesopic vision and glare sensitivity. The luminance level during nighttime driving is usually between 0.01 and 1 cd/m^2, and therefore can be attributed to the level of mesopic vision. However, over the last years, the attempt was made to introduce photopic contrast sensitivity test to diagnose nighttime driving ability (i.e. testing of contrast vision under daytime conditions without time consuming adaptation procedures). Current research aims at investigating the relationship between contrast tests under various luminance conditions (Wilhelm et al, 2013). It is questionable, whether photopic tests are at all reliable predictors with regard to nighttime driving (Gramberg-Danielsen et al., 1984, Hertenstein et al., Graefe´s Archive of Ophthalmology, 2016).