NCT04980846

Brief Summary

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).

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
30

participants targeted

Target at below P25 for not_applicable

Timeline
Completed

Started Aug 2021

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

July 22, 2021

Completed
6 days until next milestone

First Posted

Study publicly available on registry

July 28, 2021

Completed
18 days until next milestone

Study Start

First participant enrolled

August 15, 2021

Completed
3 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

November 14, 2021

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

November 14, 2021

Completed
Last Updated

January 3, 2022

Status Verified

July 1, 2021

Enrollment Period

3 months

First QC Date

July 22, 2021

Last Update Submit

December 30, 2021

Conditions

Keywords

MetabolismMachine LearningAutomotive TechnologyDrivingDriving SimulatorAlcohol biomarkerCortisolPhosphatidylethanol

Outcome Measures

Primary Outcomes (1)

  • Accuracy of the DRIVE-model: Diagnostic accuracy of the drunk driving warning system (DRIVE) to detect drunk driving (>= 0.25 mg/l breath alcohol concentration (BrAC)) quantified as the area under the receiver operator characteristics curve (AUC ROC).

    Accuracy of the DRIVE-model will be assessed using driving data recorded in sober and drunk driving states and driving data will be analysed using applied machine learning technology for impaired driving detection.

    480 minutes

Secondary Outcomes (35)

  • Change of velocity

    480 minutes

  • Change of steer

    480 minutes

  • Change of brake

    480 minutes

  • Change of steer torque

    480 minutes

  • Change of steer speed

    480 minutes

  • +30 more secondary outcomes

Study Arms (1)

Intervention group

EXPERIMENTAL

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

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

Interventions

Participants will drive in three different states (sober, drunk above and below the legal limit) on designated circuits using a driving simulator. After the initial sober driving session, participants are administered pre-mixed alcoholic beverages (e.g., vodka orange). Participants are expected to achieve a target BrAC of 0.35 mg/l (legal limit in Switzerland is 0.25 mg/l BrAC) before the second driving session starts. Finally, the third driving session starts when the participants' BrAC drops to 0.15 mg/l. Heart rate, skin conductance, accelerometer, eye movement, radar, facial expression, and speech will be recorded by a smart-watch, an eye-tracker, microphones and an onboard camera, respectively. Participants will be blinded to their alcohol levels during the study. They will have to rate their symptoms and their performance via questionnaires before and after each driving session. Further, capillary blood and oral fluid samples will be collected.

Intervention group

Eligibility Criteria

Age17 Years+
Sexall
Healthy VolunteersYes
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

  • 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.

You may not qualify if:

  • 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.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

University of Bern

Bern, Switzerland

Location

MeSH Terms

Conditions

Driving Under the InfluenceAlcohol Drinking

Interventions

Ethanol

Condition Hierarchy (Ancestors)

Criminal BehaviorBehaviorDangerous BehaviorDrinking Behavior

Intervention Hierarchy (Ancestors)

AlcoholsOrganic Chemicals

Study Officials

  • Wolfgang Weinmann, Prof. Dr.

    University of Bern

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
OTHER
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

July 22, 2021

First Posted

July 28, 2021

Study Start

August 15, 2021

Primary Completion

November 14, 2021

Study Completion

November 14, 2021

Last Updated

January 3, 2022

Record last verified: 2021-07

Data Sharing

IPD Sharing
Will not share

Locations