With the growing technological advances in autonomous driving, the transport industry and research community seek to determine the impact that autonomous vehicles (AV) will have on consumers, as well as identify the different factors that will influence their use. Most of the research performed so far relies on laboratory-controlled conditions using driving simulators, as they offer a safe environment for testing advanced driving assistance systems (ADAS). In this study we analyze the behavior of drivers that are placed in control of an automated vehicle in a real life driving environment. The vehicle is equipped with advanced autonomy, making driver control of the vehicle unnecessary in many scenarios, although a driver take over is possible and sometimes required. In doing so, we aim to determine the impact of such a system on the driver and their driving performance. To this end road users' behavior from naturalistic driving data is analyzed focusing on awareness and diagnosis of the road situation. Results showed that the road features determined the level of visual attention and trust in the automation. They also showed that the activities performed during the automation affected the reaction time to take over the control of the vehicle.
翻译:随着自主驾驶技术的发展,运输业和研究界力求确定自主驾驶车辆(AV)对消费者的影响,并查明影响其使用的各种因素。迄今为止所进行的大部分研究都依赖于使用驾驶模拟器的实验室控制条件,因为这些模拟器为测试先进的驾驶辅助系统提供了安全的环境。在这项研究中,我们分析了在现实生活中驾驶环境中控制自动驾驶车辆的驾驶员的行为。该车辆装备有先进的自主性,使驾驶员对车辆的控制在许多情形中没有必要,尽管司机接管是可能的,有时是需要的。我们这样做的目的是确定这种系统对驾驶员及其驾驶业绩的影响。为此,从自然驾驶数据对道路使用者的行为进行了分析,重点是对道路状况的认识和诊断。结果显示,道路特征决定了对自动化的视觉关注和信任程度。他们还表明,在自动化期间开展的活动影响了对控制车辆的反应时间。