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This paper performs a systematic review about drivers\u2019 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.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Objectives<\/jats:title>\n                <jats:p>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.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methodology<\/jats:title>\n                <jats:p>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\u2019 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.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>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\u2019s quick intervention.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12544-021-00505-2","type":"journal-article","created":{"date-parts":[[2021,9,3]],"date-time":"2021-09-03T08:44:50Z","timestamp":1630658690000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":55,"title":["Takeover performance evaluation using driving simulation: a systematic review and meta-analysis"],"prefix":"10.1186","volume":"13","author":[{"given":"S\u00f3nia","family":"Soares","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7614-7605","authenticated-orcid":false,"given":"Ant\u00f3nio","family":"Lobo","sequence":"additional","affiliation":[]},{"given":"Sara","family":"Ferreira","sequence":"additional","affiliation":[]},{"given":"Liliana","family":"Cunha","sequence":"additional","affiliation":[]},{"given":"Ant\u00f3nio","family":"Couto","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,3]]},"reference":[{"key":"505_CR1","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1016\/j.aap.2019.06.011","volume":"131","author":"MT Alrefaie","year":"2019","unstructured":"Alrefaie, M. 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