Driving scenarios and environmental settings in simulator-based driving assessment systems for stroke: a systematic review
Driving scenarios and environmental settings in simulator-based driving assessment systems for stroke: a systematic review
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基于模拟器的中风驾驶评估系统中的驾驶场景和环境设置:系统评价
DOI:
10.1080/10749357.2023.2165273
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发表时间:
2022
影响因子:
2.2
通讯作者:
Piyapat Dajpratham
中科院分区:
文献类型:
--
作者:
Gunt Chanmas;Pittawat Taveekitworachai;Pujana Paliyawan;Ramita Thawonmas;Ruck Thawonmas;Chakarida Nukoolkit;Piyapat Dajpratham
BackgroundDriving simulators are effective tools to evaluate the driving abilities of patients with stroke. They can introduce various driving scenarios which will greatly benefit both the assessors and drivers. However, there is still no guidelines by which driving scenarios should be introduced in the driving assessment.ObjectivesWe conducted a systematic review to examine the utilization of driving scenarios and environments in the simulator-based driving assessment for patients with stroke.MethodsA systematic review was conducted following PRISMA. We searched PubMed, Web of Science, ScienceDirect, ACM Digital Library, and IEEE Xplore Digital Library databases in January and June 2022 to identify eligible articles published since 2010.ResultsOur searches identified 1,614 articles. We included 12 studies that applied driving simulators to assess the driving performance of patients with stroke. The driving scenarios were categorized into three categories – vehicle controls scenarios, hazard perception scenarios, and trajectory planning scenarios – based on a certain set of driving abilities. The most common driving scenarios are simple navigation (n= 8) and emergency stop (n= 8). The most frequently used driving area is urban (n= 9), and a variety of roads and traffic conditions were found in the included studies. Only 2 studies applied weather conditions, such as the clear and sunny condition or the windy condition.ConclusionIt is recommended for future research to consider covering scenarios from the aforementioned three categories and further investigate the benefits of introducing complex weather conditions and localized traffic conditions in the driving assessment.
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影响因子:
3.7
作者:
Page MJ;McKenzie JE;Bossuyt PM;Boutron I;Hoffmann TC;Mulrow CD;Shamseer L;Tetzlaff JM;Akl EA;Brennan SE;Chou R;Glanville J;Grimshaw JM;Hróbjartsson A;Lalu MM;Li T;Loder EW;Mayo-Wilson E;McDonald S;McGuinness LA;Stewart LA;Thomas J;Tricco AC;Welch VA;Whiting P;Moher D
通讯作者:
Moher D
影响因子:
2.3
作者:
Jonathan Tiu;Annie C. Harmon;James D. Stowe;Amen Zwa;Marc Kinnear;L. Dimitrov;Tina Nolte;D. Carr
通讯作者:
D. Carr
DOI:
10.1016/j.trf.2014.07.010
发表时间:
2014-09-01
影响因子:
4.1
作者:
Lim, Phui Cheng;Sheppard, Elizabeth;Crundall, David
通讯作者:
Crundall, David
影响因子:
2.2
作者:
Spreij LA;Ten Brink AF;Visser-Meily JMA;Nijboer TCW
通讯作者:
Nijboer TCW
DOI:
--
发表时间:
2016
期刊:
HVM Bioflux
影响因子:
--
作者:
R. Oros;C. A. Popescu;S. Iova;P. Mihancea;C. Iova
通讯作者:
C. Iova