An objective assessment of the utility of a driving simulator for low mu testing

Romano, Richard; Markkula, Gustav; Boer, Erwin R.; Jamson, A. Hamish; Bean, Alex; Tomlinson, Andrew; Horrobin, Anthony; Sadraei, Ehsan

doi:10.1016/j.trf.2019.07.001

Cited by 10 publications

(5 citation statements)

References 15 publications

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“…The FoV is 250 degrees using 9 projectors and the virtual environment is rendered at a frequency of 60Hz [82]. Its 8-DOF motion is achieved by the integration of a hexapod and an XY structure 5 m long [83]. The UoLDS also includes features such as haptic feedback through the pedals and steering wheel, and an eye tracking system to monitor driver behavior.…”

Section: University Of Leeds Driving Simulatormentioning

confidence: 99%

“…More recent work described in [83] assesses the validity of a driving simulator in mimicking the dynamics of a lowfriction test track, showing that although driving simulation can be used for dynamic assessment, there are still limitations in reproducing certain maneuvers and environments.…”

Section: Chassis Systems Developmentmentioning

confidence: 99%

“…In addition, the importance of the journey mapping and driving conditions (e.g. pavement, weather, and traffic) is highlighted by several researchers [83] and [128]. Once more, driving simulation can be a powerful tool, reducing design timing and cost, providing controlled environments, and allowing integration of technologies beforehand.…”

Section: Powertrain Systems Developmentmentioning

confidence: 99%

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A Review of Driving Simulation Technology and Applications

Bruck

Haycock

Emadi

2021

IEEE Open J. Veh. Technol.

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Driving simulation has become a very useful tool for vehicle design and research in industry and educational institutes. This paper provides a review of driving simulator components, including the vehicle dynamics model, the motion system, and the virtual environment, and how they interact with the human perceptual system in order to create the illusion of the driving. In addition, a sample of current state-of-the-art vehicle simulators and algorithms are described. Finally, current applications are discussed, such as driver-centered studies, chassis and powertrain design, and autonomous systems development.

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Section: University Of Leeds Driving Simulatormentioning

confidence: 99%

Section: Chassis Systems Developmentmentioning

confidence: 99%

Section: Powertrain Systems Developmentmentioning

confidence: 99%

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A Review of Driving Simulation Technology and Applications

Bruck

Haycock

Emadi

2021

IEEE Open J. Veh. Technol.

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“…The objective measurement methods are based on the "Utility Triplet" [16]. The utility triplet has been proven to be a useful, structured approach for this type of behavioural fidelity assessment and includes three major categories: aggregate performance, time series and driver model [17].…”

Section: Objective Measuresmentioning

confidence: 99%

Evaluation of Vehicle Ride Height Adjustments Using a Driving Simulator

et al. 2020

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Testing of vehicle design properties by car manufacturers is primarily performed on-road and is resource-intensive, involving costly physical prototypes and large time durations between evaluations of alternative designs. In this paper, the applicability of driving simulators for the virtual assessment of ride, steering and handling qualities was studied by manipulating vehicle air suspension ride height (RH) (ground clearance) and simulator motion platform (MP) workspace size. The evaluation was carried out on a high-friction normal road, routinely used for testing vehicle prototypes, modelled in a driving simulator, and using professional drivers. The results showed the differences between the RHs were subjectively distinguishable by the drivers in many of the vehicle attributes. Drivers found standard and low RHs more appropriate for the vehicle in terms of the steering and handling qualities, where their performance was deteriorated, such that the steering control effort was the highest in low RH. This indicated inconsistency between subjective preferences and objective performance and the need for alternative performance metrics to be defined for expert drivers. Moreover, an improvement in drivers’ performance was observed, with a reduction of steering control effort, in larger MP configurations.

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“…Baumgartner et al proposed a law based on Weber's law to transfer JND values from motion scaled studies to real conditions. Romano et al evaluated the utility of a driving simulator to test low friction driving (Romano et al, 2019). They studied driver behavior both in a driving simulator and in real test conditions on a snowy low friction track.…”

Section: Contributionsmentioning

confidence: 99%