L2级自动驾驶情境下汽车自动模式显示多维度综合评价

Multidimensional Comprehensive Evaluation of Vehicle Automatic Mode Display in L2 Automated Driving Scenario

摘要: 目的：通过驾驶员自动化模式感知能力、眼动数据等客观指标与问卷调查等主观指标，多维度评价L2级自动驾驶的自动化模式显示形式最优方案。方法：以ACC与LCC两种自动化模式切换为例，以HUD作为自动化模式信息显示的载体。首先，对ACC及LCC概念进行梳理。其次，研究驾驶员在不同自动化模式HUD显示方案下的各项主客观数据。最后，综合主客观数据，利用层次分析法对自动化模式HUD设计方案进行评价。结果：得出针对两类驾驶环境、两类用户的四种自动化模式HUD方案综合优度排序。结论：综合多项驾驶相关主客观数据与层次分析法，能够有效地对自动驾驶情境下的人机界面进行评价。

Abstract: Objective: To evaluate the optimal display format of L2 automated driving based on objective in-dicators such as the driver’s perception ability in automated mode and eye-tracking data, as well as subjective indicators such as questionnaire surveys. Method: Taking the switch between the ACC and LCC as an example, the Head-Up Display (HUD) is used as the carrier of automated mode information display. Firstly, the concepts of ACC and LCC are clarified. Secondly, the subjective and objective data of drivers under different HUD display schemes in different automated modes are studied. Finally, the Analytic Hierarchy Process (AHP) is used to evaluate the design scheme of the automated mode HUD based on the comprehensive subjective and objective data. Results: Four comprehensive optimal HUD schemes for two types of driving environments and two types of users are ranked based on the evaluation. Conclusion: Comprehensive evaluation using multiple subjective and objective driving-related data and the Analytic Hierarchy Process can effectively evaluate the human-machine interface in autonomous driving scenarios.