Adaptation to the driving simulator and prediction of the braking time performance, with and without distraction, in older adults and middle-aged adults

Canonica, Alexandra Carolina; Alonso, Angélica Castilho; Brech, Guilherme Carlos; Peterson, Mark D.; Luna, Natália Mariana Silva; Jacob, Wilson Chacko; Rosa, Juliana Leme; Soares-Jr, José Maria; Baracat, Edmund Chada; Greve, Júlia Maria D’Andréa

doi:10.1016/j.clinsp.2023.100168

Clinics

2023

DOI: 10.1016/j.clinsp.2023.100168

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Adaptation to the driving simulator and prediction of the braking time performance, with and without distraction, in older adults and middle-aged adults

Alexandra Carolina Canonica

Angélica Castilho Alonso

Guilherme Carlos Brech

et al.

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Cited by 3 publications

References 19 publications

(25 reference statements)

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A systematic review of camera monitor system display layout designs: Integration of existing knowledge

Ryu,

Beck,

Park

2024

Applied Ergonomics

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A systematic review of camera monitor system display layout designs: Integration of existing knowledge

Ryu,

Beck,

Park

2024

Applied Ergonomics

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An Ergonomic Study on the Operation Method and In-Vehicle Location of an Automotive Electronic Gearshift

An,

Park,

Kim

et al. 2024

Applied Sciences

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This study conducted a survey to identify the best ergonomic operation method, in-vehicle location, and the effects of their combination on electronic gearshifts. A total of 15 different design alternatives were derived through combinations of three operation methods (lever slide, button push, and dial rotation) and five in-vehicle locations (left wheel spoke, right wheel spoke, upper center fascia, lower center fascia, and center console). A total of 40 respondents with diverse ages and driving experiences evaluated the 15 different design alternatives across nine ergonomic evaluation measures (accuracy, efficiency, rapidity, learnability, intuitiveness, safety, preference, memorability, and satisfaction). The study results indicated that: (1) the lever slide and button push were superior to dial rotation for the operation method; (2) the lower center facia and center console were superior for the in-vehicle location, and (3) implementing the lever slide method in the center console location was found to lead to the best combination of the operation method and in-vehicle location, while implementing the button push method in the right wheel spoke or upper center fascia location also showed relative superiority. The study findings are expected to contribute to the ergonomic design of electronic gearshifts that can enhance the driver’s gear-shifting experience, thereby improving driving performance and safety.

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Crash Risk Predictors in Older Drivers: A Cross-Sectional Study Based on a Driving Simulator and Machine Learning Algorithms

Silva

Dias

Greve

et al. 2023

IJERPH

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The ability to drive depends on the motor, visual, and cognitive functions, which are necessary to integrate information and respond appropriately to different situations that occur in traffic. The study aimed to evaluate older drivers in a driving simulator and identify motor, cognitive and visual variables that interfere with safe driving through a cluster analysis, and identify the main predictors of traffic crashes. We analyzed the data of older drivers (n = 100, mean age of 72.5 ± 5.7 years) recruited in a hospital in São Paulo, Brazil. The assessments were divided into three domains: motor, visual, and cognitive. The K-Means algorithm was used to identify clusters of individuals with similar characteristics that may be associated with the risk of a traffic crash. The Random Forest algorithm was used to predict road crash in older drivers and identify the predictors (main risk factors) related to the outcome (number of crashes). The analysis identified two clusters, one with 59 participants and another with 41 drivers. There were no differences in the mean of crashes (1.7 vs. 1.8) and infractions (2.6 vs. 2.0) by cluster. However, the drivers allocated in Cluster 1, when compared to Cluster 2, had higher age, driving time, and braking time (p < 0.05). The random forest performed well (r = 0.98, R2 = 0.81) in predicting road crash. Advanced age and the functional reach test were the factors representing the highest risk of road crash. There were no differences in the number of crashes and infractions per cluster. However, the Random Forest model performed well in predicting the number of crashes.

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Adaptation to the driving simulator and prediction of the braking time performance, with and without distraction, in older adults and middle-aged adults

Cited by 3 publications

References 19 publications

A systematic review of camera monitor system display layout designs: Integration of existing knowledge

A systematic review of camera monitor system display layout designs: Integration of existing knowledge

An Ergonomic Study on the Operation Method and In-Vehicle Location of an Automotive Electronic Gearshift

Crash Risk Predictors in Older Drivers: A Cross-Sectional Study Based on a Driving Simulator and Machine Learning Algorithms

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