A review and framework of control authority transitions in automated driving

被引：38
作者：
Lu, Zhenji [1 ]
de Winter, Joost C. F. [1 ]
机构：
[1] Delft Univ Technol, Dept BioMech Engn, Fac Mech Maritime & Mat Engn, Mekelweg 2, NL-2628 CD Delft, Netherlands
来源：
6TH INTERNATIONAL CONFERENCE ON APPLIED HUMAN FACTORS AND ERGONOMICS (AHFE 2015) AND THE AFFILIATED CONFERENCES, AHFE 2015 | 2015年 / 3卷
关键词：
Automated driving; Control authority transitions; Driving states; SITUATION AWARENESS; PERFORMANCE; DRIVERS; RESPONSIBILITY; WORKLOAD; HUMANS; LEVEL;
D O I：
10.1016/j.promfg.2015.07.513
中图分类号：
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号：
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要：
The paper reviews some of the essentials of human-machine interaction in automated driving, focusing on control authority transitions. We introduce a driving state model describing the human monitoring level and the allocation of lateral and longitudinal control tasks. An authority transition in automated driving is defined as the process of changing from one static state of driving to another static state. Based on (1) who initiates the transition and (2) who is in control after the transition, we categorize transitions into four types: driver-initiated driver control (DIDC), driver-initiated automation control (DIAC), automation-initiated driver control (AIDC), and automation-initiated automation control (AIAC). Finally, we discuss the effects of human-machine interfaces on driving performance during transitions. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码：2510 / 2517
页数：8
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