Driving scenarios and environmental settings in simulator-based driving assessment systems for stroke: a systematic review

A systematic review of major evaluation metrics for simulator-based automatic assessment of driving after stroke

“…We also found a consistent observation with a previous review on driving scenarios implemented for SA [6] that urban is the most common driving area implemented, as it is an area implemented by all of our included studies. As stated in the previous review [6] , urban driving areas are usually coupled with denser traffic, providing more challenging scenarios for participants. This may be because urban areas tend to share similar features regardless of countries and regions, and are commonly available in driving simulators.…”

“…This is especially true for commercial driving simulators as utilized by all included studies. As pointed out by the existing review [6] , “the driving scenarios and environmental settings that can be introduced in the assessment may not be varied due to the limit in the configuration of the driving simulator.”…”

“…Driving is a multifaceted task that necessitates the possession of numerous skills to perform it safely [6] . As a result, driving tests are usually required to assess an individual's ability to drive.…”

“…SA's versatility allows for the simulation of diverse driving scenarios, conditions, and performance metrics, facilitating both customized rehabilitation programs and controlled research environments [6] , [18] . SA comes with its unique benefits, allowing the driver to experience various types of driving scenarios in safe conditions without the risks of real-life danger [19] .…”

“…By simulating various driving scenarios, SA provides a comprehensive assessment of driving performance, as some of the scenarios can be designed similar to driving license tests. The assessment assesses various capabilities of test takers, some found in driving license tests, including visual attention [20] ; reaction time [13] , [21] ; and decision-making based on traffic rules (e.g., [13] , [15] , [21] ), and various driving scenarios such as urban driving, highway navigation, and rural cruising [6] . Moreover, SA generates performance metrics comparable to those of OA, including signal uses [22] , [23] , speed (e.g., [13] , [15] , [21] ), and distance between vehicles [15] , [22] , [23] .…”