Evaluating Effects of Cognitive Load, Takeover Request Lead Time, and Traffic Density on Drivers’ Takeover Performance in Conditionally Automated Driving
Evaluating Effects of Cognitive Load, Takeover Request Lead Time, and Traffic Density on Drivers’ Takeover Performance in Conditionally Automated Driving
复制标题
评估认知负荷、接管请求提前时间和交通密度对有条件自动驾驶中驾驶员接管性能的影响
DOI：
--
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Jessie Yang
中科院分区：
文献类型：
--
作者：
Na Du;Jinyong Kim;Feng Zhou;Elizabeth M. Pulver;D. Tilbury;L. Robert;A. Pradhan;Jessie Yang
在有条件自动驾驶中，从事非驾驶相关任务（NDRT）的驾驶员在被要求时难以接管车辆的控制。本研究旨在探讨驾驶员认知负荷、接载请求前置时间及交通密度与接载绩效的关系。我们对80名参与者进行了驾驶模拟实验，他们经历了8次接管事件。对于每一个接管事件，司机的主观评级接管准备，接管时间和质量的客观措施，NDRT性能进行了收集。结果表明，驾驶员在高认知负荷、短TOR提前时间和高迎面交通密度条件下的接管准备程度较低，表现较差。有趣的是，如果驾驶员的认知负荷较低，他们会更加关注驾驶环境，并在高速迎面而来的交通条件下更快地响应接管请求。研究结果对车载警报系统的设计具有一定的指导意义，有助于提高接管性能。
In conditionally automated driving, drivers engaged in non-driving related tasks (NDRTs) have difficulty taking over control of the vehicle when requested. This study aimed to examine the relationships between takeover performance and drivers’ cognitive load, takeover request (TOR) lead time, and traffic density. We conducted a driving simulation experiment with 80 participants, where they experienced 8 takeover events. For each takeover event, drivers’ subjective ratings of takeover readiness, objective measures of takeover timing and quality, and NDRT performance were collected. Results showed that drivers had lower takeover readiness and worse performance when they were in high cognitive load, short TOR lead time, and heavy oncoming traffic density conditions. Interestingly, if drivers had low cognitive load, they paid more attention to driving environments and responded more quickly to takeover requests in high oncoming traffic conditions. The results have implications for the design of in-vehicle alert systems to help improve takeover performance.