A Method to Assess the Effect of Vertical Dynamics on Driving Performance in Driving Simulators: A Behavioural Validation Study

Author(s):  
Arben Parduzi ◽  
Joost Venrooij ◽  
Stefanie Marker
Author(s):  
Malte Klüver ◽  
Carolin Herrigel ◽  
Christian Heinrich ◽  
Hans-Peter Schöner ◽  
Heiko Hecht

1987 ◽  
Vol 31 (7) ◽  
pp. 762-765
Author(s):  
Thomas A. Ranney ◽  
Nathaniel H. Pulling

Lack of vehicle familiarity is a contributing factor in motor-vehicle accidents. It may also contaminate results in experiments where subjects are required to drive unfamiliar vehicles or driving simulators. An instrumented driving range, including a signalized intersection, was developed to evaluate driving performance in subjects' own vehicles. Fourteen drivers completed approximately fifty laps of the one-half mile closed course in their own vehicles and in an unfamiliar passenger van. Their task was to stop at the stopline following the change of the traffic signal from green to yellow. Brake reaction time, smoothness of deceleration, approach speed, and stopping accuracy were recorded. In the unfamiliar van, brake reaction times were faster and drivers were more likely to stop considerably before the stop line than in their own vehicle. Deceleration was slightly smoother in the unfamiliar van. Individual differences in approach speed were stronger than differences associated with vehicles. Overall performance was influenced more by the position of the vehicle at yellow onset than by vehicle familiarity. Results were interpreted as suggesting heightened driver awareness in the unfamiliar vehicle. Implications for the safety of drivers in unfamiliar vehicles are discussed. The use of unfamiliar vehicles in driving performance research and problems of data analysis resulting from the use of drivers in their own vehicles are also discussed.


Author(s):  
Leo J. Gugerty ◽  
William C. Tirre

The first experiment found that varying the rate of road hazards in a personal-computer-based driving simulator had no effect on subjects' situation awareness, as measured in the simulator. Thus, setting a high rate of hazards does not distort subjects' situation awareness. In the second experiment, the situation awareness test was found to predict driving performance in a realistic simulator. Individual differences in situation awareness were correlated with working memory and psychomotor abilities.


2017 ◽  
Vol 109 ◽  
pp. 62-69 ◽  
Author(s):  
José M. Morales ◽  
Carolina Díaz-Piedra ◽  
Héctor Rieiro ◽  
Joaquín Roca-González ◽  
Samuel Romero ◽  
...  

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Alison Blane ◽  
Hoe C. Lee ◽  
Torbjörn Falkmer ◽  
Tania Dukic Willstrand

Driving is an important activity of daily living, which is increasingly relied upon as the population ages. It has been well-established that cognitive processes decline following a stroke and these processes may influence driving performance. There is much debate on the use of off-road neurological assessments and driving simulators as tools to predict driving performance; however, the majority of research uses unlicensed poststroke drivers, making the comparability of poststroke adults to that of a control group difficult. It stands to reason that in order to determine whether simulators and cognitive assessments can accurately assess driving performance, the baseline should be set by licenced drivers. Therefore, the aim of this study was to assess differences in cognitive ability and driving simulator performance in licensed community-dwelling poststroke drivers and controls. Two groups of licensed drivers (37 poststroke and 43 controls) were assessed using several cognitive tasks and using a driving simulator. The poststroke adults exhibited poorer cognitive ability; however, there were no differences in simulator performance between groups except that the poststroke drivers demonstrated less variability in driver headway. The application of these results as a prescreening toolbox for poststroke drivers is discussed.


Author(s):  
Hanna Bellem ◽  
Malte Klüver ◽  
Michael Schrauf ◽  
Hans-Peter Schöner ◽  
Heiko Hecht ◽  
...  

2012 ◽  
Vol 18 (Suppl 1) ◽  
pp. A201.1-A201
Author(s):  
CC McDonald ◽  
Y -C Lee ◽  
JB Tanenbaum ◽  
T Seacrist ◽  
FK Winston

Geriatrics ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. 35
Author(s):  
Jonathan Tiu ◽  
Annie C. Harmon ◽  
James D. Stowe ◽  
Amen Zwa ◽  
Marc Kinnear ◽  
...  

There is a myriad of methodologies to assess driving performance after a stroke. These include psychometric tests, driving simulation, questionnaires, and/or road tests. Research-based driving simulators have emerged as a safe, convenient way to assess driving performance after a stroke. Such traditional research simulators are useful in recreating street traffic scenarios, but are often expensive, with limited physics models and graphics rendering. In contrast, racing simulators developed for motorsport professionals and enthusiasts offer high levels of realism, run on consumer-grade hardware, and can provide rich telemetric data. However, most offer limited simulation of traffic scenarios. This pilot study compares the feasibility of research simulation and racing simulation in a sample with minor stroke. We determine that the racing simulator is tolerated well in subjects with a minor stroke. There were correlations between research and racing simulator outcomes with psychometric tests associated with driving performance, such as the Trails Making Test Part A, Snellgrove Maze Task, and the Motricity Index. We found correlations between measures of driving speed on a complex research simulator scenario and racing simulator lap time and maximum tires off track. Finally, we present two models, using outcomes from either the research or racing simulator, predicting road test failure as linked to a previously published fitness-to-drive calculator that uses psychometric screening.


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