Industrial and Systems Engineering, Civil and Environmental Engineering, University of Washington, Seattle, WA, USA.
Accid Anal Prev. 2010 May;42(3):785-7. doi: 10.1016/j.aap.2010.03.006.
Changes in drivers, vehicles, and roadways pose substantial challenges to the transportation safety community. Crash records and naturalistic driving data are useful for examining the influence of past or existing technology on drivers, and the associations between risk factors and crashes. However, they are limited because causation cannot be established and technology not yet installed in production vehicles cannot be assessed. Driving simulators have become an increasingly widespread tool to understand evolving and novel technologies. The ability to manipulate independent variables in a randomized, controlled setting also provides the added benefit of identifying causal links. This paper introduces a special issue on simulator-based safety studies. The special issue comprises 25 papers that demonstrate the use of driving simulators to address pressing transportation safety problems and includes topics as diverse as neurological dysfunction, work zone design, and driver distraction.
驾驶员、车辆和道路的变化给交通安全领域带来了巨大挑战。事故记录和自然驾驶数据对于研究过去或现有技术对驾驶员的影响以及风险因素与事故之间的关联非常有用。然而，它们具有一定的局限性，因为无法确定因果关系，而且无法评估尚未安装在生产车辆中的技术。驾驶模拟器已成为一种越来越广泛的工具，可用于了解不断发展和新颖的技术。在随机、受控的环境中操纵自变量的能力还具有确定因果关系的额外优势。本文介绍了一个基于模拟器的安全研究特刊。该特刊包含 25 篇论文，展示了使用驾驶模拟器来解决紧迫的交通安全问题，涵盖的主题包括神经功能障碍、工作区设计和驾驶员分心等。
