Effects of acute alcohol consumption on measures of simulated driving: A systematic review and meta-analysis
Introduction
Acute alcohol intoxication causes impaired driving (Moskowitz and Burns, 1990, Moskowitz and Fiorentino, 2000, Ogden and Moskowitz, 2004) with relative risk increasing exponentially as blood alcohol concentration (BAC) rises (Compton and Berning, 2015). Recent reports indicate the risk of motor vehicle crashes increases with BAC as low as 30 mg·dL−1 (Compton and Berning, 2015). Despite this, current legislation in many jurisdictions permits drivers to operate motor vehicles at intoxication levels above this, with typical enforceable limits being 50–80 mg·dL−1 BAC. For example, countries such as Australia, New Zealand and South Africa have adopted a 50 mg⋅dL−1 drink driving limit, while others such as the United States and the United Kingdom have a 80 mg·dL−1 national maximum legal BAC limit (World Health Organization, 2015). The tolerance for some alcohol to be consumed prior to driving demonstrates a need for continued research into the effects of acute alcohol consumption on driving performance.
Driving a motor vehicle is a complex task, requiring a coordinated array of sensory, perceptual, cognitive, and motor control components (Anderson et al., 2005, Jeong et al., 2006). Clearly, there are obvious risks and ethical issues associated with using road-based vehicles to examine the effects of alcohol on driving performance (Creaser et al., 2011). Driving simulation provides an alternative experimental approach that allows researchers to examine all of the necessary skills required to operate a motor vehicle without the risk of injury (Allen et al., 2011). In addition, driving simulation allows greater experimental control; eliminating environmental inconsistencies that would otherwise influence on-road study results (Risto and Martens, 2014). Importantly, simulated driving has also demonstrated direct translation to on-road driving (Risto and Martens, 2014, Gawron and Ranney, 1988, Lee et al., 2003, Mayhew et al., 2011), making driving simulation a critical tool for the assessment of driving performance under the influence of alcohol.
Driving simulators have been used to test the effect of alcohol on driving performance for almost four decades (Creaser et al., 2011). In this time, significant technological advancements have seen driving simulators develop into complex multi-functional pieces of equipment, employing immersive scenarios and real-world driving experiences. As such, a large number of performance measures can be recorded during driving. However, there is no standard set of driving scenarios for testing alcohol impaired driving (Creaser et al., 2011). Despite this, a number of performance measures are commonly reported in simulator studies investigating the effects of alcohol, including lateral vehicle control parameters (standard deviation of lane position (SDLP) (Helland et al., 2016, Helland et al., 2013, Irwin et al., 2014, Mets et al., 2011, Verster et al., 2014, Verster and Roth, 2014a, McCartney et al., 2017), number of lane marking crossings (LC) (McCartney et al., 2017, Fillmore et al., 2008, Kenntner-Mabiala et al., 2015, Weafer and Fillmore, 2012)), and longitudinal vehicle control parameters (standard deviation of speed (SDSP) (Mets et al., 2011, McCartney et al., 2017, Marczinski and Fillmore, 2009, Marczinski et al., 2008, Rupp et al., 2007, Veldstra et al., 2012, Weafer et al., 2008), average driving speed (AVSP) (Mets et al., 2011, McCartney et al., 2017, Kenntner-Mabiala et al., 2015, Marczinski et al., 2008, Veldstra et al., 2012, Berthelon and Gineyt, 2014, Laude and Fillmore, 2015, Laude and Fillmore, 2016)). SDLP provides a method of assessing a driver’s ability to maintain a given lane position and may also be regarded as a measure of driver safety (Verster and Roth, 2014a). That is, with increases in SDLP, the likelihood of crossing lane boundaries increases, which could result in the vehicle deviating into the lane of adjacent or oncoming traffic, increasing the chances of traffic crashes (Verster and Roth, 2014a, Owens and Ramaekers, 2009). However, many studies do not collect or report all of these driving performance measures and even when they do, some degree of variability is observed in performance outcomes. This may in part, be due to differences in the research question, study methodology (e.g. alcohol dose administered, timing of alcohol administration), simulator capabilities (e.g. low- or high- complexity systems) and the simulation scenarios (e.g. driving duration, driving environment) employed.
Therefore, the aim of the present study was to examine the impact of acute alcohol consumption on simulated driving performance by performing a systematic review and meta-analysis of the available evidence. Findings from this study will clarify the magnitude of effect that alcohol intoxication has on simulated driving performance measures. This information will provide researchers with greater confidence in simulated driving scenario design, the performance measures employed to test the effects of alcohol on simulated driving, and assist with the interpretation of driving performance data when conducting alcohol experiments using simulated driving tasks. It will also permit benchmarking of performance changes observed with alcohol impairment against other factors that may cause impaired driving (e.g., fatigue, distraction), allowing greater comparison to established driving impediments in future research studies.
Section snippets
Aim(s)
The purpose of this review is to investigate the effect of acute alcohol consumption on lateral and longitudinal vehicle control measures during simulated driving performance using meta-analytic procedures. More specifically, this study intends to:
- 1)
Quantify the magnitude of simulated driving impairment at a given BAC using select indicators of driving performance;
- 2)
Explore the dose-response effect of acute alcohol intoxication on simulated driving performance;
- 3)
Determine the influence of
Methods
The methodology of this review was devised in accordance with specifications outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols PRISMA-P 2015 Statement (Moher et al., 2015) and registered at the International Prospective Register for Systematic Reviews (identification code: CRD 42015023802) ahead of the formal literature screening process.
Overview of included studies and study quality
Thirty publications adhering to the eligibility criteria were retrieved via the literature search. However, three of the eligible studies (Rupp et al., 2007, George et al., 1996, Horne and Baumber, 1991) administered simulated wind gusts during the driving assessment, which pushed the vehicle away from the centre of the road and likely confounded measurements of lateral control. Therefore, SDLP and LC results from these investigations were removed from the data set before proceeding with the
Discussion
This is the first meta-analysis to examine the effects of acute alcohol consumption on measures of simulated driving performance. Results demonstrate that lateral (SDLP and LC) and longitudinal (SDSP) vehicle control measures are sensitive to the effects of acute alcohol consumption. The results of this study clarify the magnitude of the effect that alcohol intoxication elicits on these specific simulated driving performance variables. This information will assist future researchers when
References (72)
- et al.
How do prolonged wakefulness and alcohol compare in the decrements they produce on a simulated driving task?
Accid. Anal. Prev.
(2001) - et al.
Driving while drinking: performance impairments resulting from social drinking
Accid. Anal. Prev.
(2015) - et al.
Acute disinhibiting effects of alcohol as a factor in risky driving behavior
Drug Alcohol Depend.
(2008) - et al.
Are bad drivers more impaired by alcohol? Sober driving precision predicts impairment from alcohol in a simulated driving task
Accid. Anal. Prev.
(2005) - et al.
Comparison of driving simulator performance with real driving after alcohol intake: a randomised, single blind, placebo-controlled, cross-over trial
Accid. Anal. Prev.
(2013) - et al.
Evaluation of measures of impairment in real and simulated driving: results from a randomized, placebo-controlled study
Traffic Inj. Prev.
(2016) - et al.
The influence of drinking: texting, and eating on simulated driving performance
Traffic Inj. Prev.
(2015) - et al.
Assessing the quality of reports of randomized clinical trials: is blinding necessary?
Control. Clin. Trials
(1996) - et al.
Simulated driving performance under alcohol: effects on driver-risk versus driver-skill
Drug Alcohol Depend.
(2015) - et al.
Assessing the driving performance of older adult drivers: on-road versus simulated driving
Accid. Anal. Prev.
(2003)