Evidence map›Paper›PMID 24292385›Full record

ArticlePsychopharmacology2014

Effects of alcohol on automated and controlled driving performances.

Catherine Berthelon, Guy Gineyt

Abstract read
PubMed Publisher
In one paragraph

Article in Psychopharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Catherine BerthelonThe French Institute of Science and Technology for Transport, Development and Networks (IFSTTAR), Laboratory of Accident Mechanism Analysis (LMA), Chemin de la Croix-Blanche, 13300, Salon de Provence, France, catherine.berthelon@ifsttar.fr.
Guy Gineyt

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleAlcohol is the most frequently detected substance in fatal automobile crashes, but its precise mode of action is not always clear.

objectiveThe present study was designed to establish the influence of blood alcohol concentration as a function of the complexity of the scenarios. Road scenarios implying automatic or controlled driving performances were manipulated in order to identify which behavioral parameters were deteriorated.

methodA single blind counterbalanced experiment was conducted on a driving simulator. Sixteen experienced drivers (25.3 ± 2.9 years old, 8 men and 8 women) were tested with 0, 0.3, 0.5, and 0.8 g/l of alcohol. Driving scenarios varied: road tracking, car following, and an urban scenario including events inspired by real accidents. Statistical analyses were performed on driving parameters as a function of alcohol level.

resultsAutomated driving parameters such as standard deviation of lateral position measured with the road tracking and car following scenarios were impaired by alcohol, notably with the highest dose. More controlled parameters such as response time to braking and number of crashes when confronted with specific events (urban scenario) were less affected by the alcohol level.

conclusionPerformance decrement was greater with driving scenarios involving automated processes than with scenarios involving controlled processes.

Indexed as

Automobile DrivingAdultComputer SimulationCross-Over StudiesDose-Response Relationship, DrugEthanolFemaleHumansMalePsychomotor PerformanceReaction TimeSingle-Blind MethodYoung AdultEthanol

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.