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Design and Implementation of a Drunk Driving Detection System (DRIVE)

U

University of Bern

Status

Completed

Conditions

Transportation Accidents
Impaired Driving
Drunk Driving
Alcohol Drinking

Treatments

Other: Driving under the influence of alcohol with a driving simulator

Study type

Interventional

Funder types

Other

Identifiers

Details and patient eligibility

About

To analyse driving behavior of individuals under the influence of alcohol using a validated research driving simulator. Based on the driving variables provided by the simulator the investigators aim at establishing algorithms capable of discriminating sober and drunk driving patterns using machine learning neural networks (deep machine learning classifiers).

Full description

Driving under the influence of alcohol (or "drunk driving") is one of the most significant causes of traffic accidents. Alcohol consumption impairs neurocognitive and psychomotor function and has been shown to be associated with an increased risk of driving accidents. Automotive technology is highly dynamic, and fully autonomous driving might, in the end, resolve the issue of alcohol impaired accidents. However, autonomous driving (level 4 or 5) is likely to be broadly available only to a substantially later time point than previously thought due to increasing concerns of safety associated with this technology. Therefore, solutions bridging the upcoming period by more rapidly and directly addressing the problem of drunk driving-associated traffic incidents are urgently needed.

On the supposition that driving behaviour differs significantly between sober and drunk states, the investigators assume that different driving patterns in both states can be used to generate drunk driving detection models using machine learning neural networks (deep machine learning classifiers).

Enrollment

30 patients

Sex

All

Ages

17+ years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Informed consent as documented by signature.
  • In possession of a Swiss or EU driving license for at least two years.
  • At least driving 1'000 kilometers per year.
  • No special equipment needed when driving.
  • Drinks alcohol at least occasionally (moderate/social consumption).
  • Fluent in (Swiss) German and no speech impairment.
  • Lives in or near Bern.

Exclusion criteria

  • Health concerns that are incompatible with alcohol consumption.
  • Any potential participant currently taking illegal drugs or medications that interact with alcohol.
  • Women who are pregnant or breast feeding.
  • Intention to become pregnant during the course of the study.
  • Teetotallers (alcohol abstinent persons).
  • Alcohol misuse (excessive alcohol consumption habits/risky drinking behaviour (according to WHO definition) and/or PEth in capillary blood > 210 ng/mL at first visit.
  • Known or suspected non-compliance or drug abuse.
  • Inability to follow the procedures of the study, e.g., due to language problems, psychological disorders, dementia, etc. of the participant.
  • Participation in another study with investigational drug within the 30 days preceding and during the present study.

Trial design

Primary purpose

Other

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

30 participants in 1 patient group

Intervention group
Experimental group
Description:
Intervention: Other: Driving under the influence of alcohol with a driving simulator
Treatment:
Other: Driving under the influence of alcohol with a driving simulator

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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