背景(考古学)
检查表
任务(项目管理)
系统回顾
计算机科学
撞车
忠诚
自动化
荟萃分析
运筹学
风险分析(工程)
运输工程
模拟
工程类
业务
系统工程
心理学
古生物学
认知心理学
内科学
生物
程序设计语言
法学
机械工程
电信
医学
梅德林
政治学
作者
Sónia Soares,António Lobo,Sara Ferreira,Liliana Cunha,António Couto
标识
DOI:10.1186/s12544-021-00505-2
摘要
Abstract Introduction In a context of increasing automation of road transport, many researchers have been dedicated to analyse the risks and safety implications of resuming the manual control of a vehicle after a period of automated driving. This paper performs a systematic review about drivers’ performance during takeover manoeuvres in driving simulator, a tool that is widely used in the evaluation of automated systems to reproduce risky situations that would not be possible to test in real roads. Objectives The main objectives are to provide a framework for the main strategies, experimental conditions and results obtained by takeover research using driving simulation, as well as to find whether different approaches may lead to different outcomes. Methodology First, a literature search following the PRISMA statement guidelines and checklist resulted in 36 relevant papers, which were described in detail according to the type of scenarios and takeover events, drivers’ engagement in secondary tasks and the assessed takeover performance measures. Then, those papers were included in a meta-analysis combining PAM clustering and ANOVA techniques to find patterns among the experimental conditions and to determine if those patterns have influence on the observed takeover performance. Conclusions Less complex experiments without secondary task engagement and conducted in low-fidelity simulators are associated with lower takeover times and crash rates. The takeover time increases with the time budget of the first alert, which reduces the pressure for a driver’s quick intervention.
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