National Advanced Driving Simulator, University of Iowa, Iowa City, Iowa.
College of Pharmacy, University of Iowa, Iowa City, Iowa.
Traffic Inj Prev. 2021;22(sup1):S8-S13. doi: 10.1080/15389588.2021.1933459. Epub 2021 Jun 29.
Reports indicate that cannabis users will adapt their driving to compensate for the perceived drug effects of cannabis. This analysis examined the relationship between driver perceptions of their state contrasted with objective measures of their performance while operating a motor vehicle.
Data was collected from ten subjects in a study examining the effects of cannabis on driving performance. Driving performance was collected on the NADS quarter-cab miniSim, a limited field of view non-motion simulator, approximately two hours after cannabis inhalation. Driving measures of both lateral and longitudinal control were included in our analysis. Subjective measures of the effects of cannabis were collected at peak and prior to driving, using visual analog scales. Data were analyzed using the SAS GLM Select procedure with subjective effect, dosing condition (placebo vs 6.9% THC), and driving event as independent measures. The stepwise selection method was used.
The analysis of each of the subjective effects showed significant differences between the placebo and the active cannabis dosed conditions. While we found variance in difference between group means, there was greater variability between subject values. We found that subjective measures were predictive of variance in driver inputs, such as steering frequency and steering reversal rate. Variance in SDLP and other driving performance measures, however, were predicted by dosing condition.
Overall, some of the effects perceived by the driver were better related to changes in driver inputs rather than the presence of cannabis itself. Changes in performance measures such as SDLP are better explained by dosing condition. Thus, driver's perceptions may result in changes to driving behavior that could mitigate the effect of cannabis. For both lateral and longitudinal control, an increasing perception of stimulation produced a positive effect on performance. Our results provide a better understanding of how different strains of cannabis, which produce different subjective experiences for users, could impact driving safety. Specifically, we found drug effects that produce more stimulation results in less impact on driving, while those that produce a more stoned or high feeling results in a greater negative effect on driving.
有报道称,大麻使用者会调整驾驶行为以适应大麻的感知药物效应。本分析研究了驾驶员对自身状态的感知与驾驶车辆时的客观行为表现之间的关系。
在一项研究中收集了十个受试者的数据,该研究考察了大麻对驾驶性能的影响。在吸入大麻后约两小时,在 NADS 四分之一驾驶室迷你模拟机上进行了驾驶性能测试,该模拟机视野有限且无运动。我们的分析包括了横向和纵向控制的驾驶措施。在进行驾驶之前和达到峰值时,使用视觉模拟量表收集大麻效应的主观测量值。使用 SAS GLM Select 程序对数据进行分析,将主观效应、剂量条件(安慰剂与 6.9%THC)和驾驶事件作为独立测量值。使用逐步选择法。
对每种主观效应的分析都显示出安慰剂和活性大麻剂量条件之间的显著差异。虽然我们发现组间均值差异存在差异,但个体值之间的变异性更大。我们发现,主观测量值可预测驾驶员输入的变化,例如转向频率和转向反转率。但是,SDL 差和其他驾驶性能测量值的方差由剂量条件预测。
总体而言,驾驶员感知到的一些影响与驾驶员输入的变化更相关,而不是大麻本身的存在。SDL 差等性能测量值的变化更好地解释了剂量条件。因此,驾驶员的感知可能会导致驾驶行为发生变化,从而减轻大麻的影响。对于横向和纵向控制,刺激感的增加对性能产生积极影响。我们的结果提供了对不同大麻菌株如何影响驾驶安全的更好理解。具体而言,我们发现产生更多刺激感的药物效应对驾驶的影响较小,而产生更麻木或兴奋感的药物效应对驾驶的负面影响更大。