Projects per year
Abstract
Requirements and measures of validity are to be defined depending on the application. The
present paper proposes a methodology which quantifies behavioural validity on the stabilisation
level of a driving task in near-limit vehicle handling. A set of metrics, capable of characterising
driving behaviour, is applied to race track and driving simulation originated data. Subsequently,
a distance measure applied to each of the metrics and an overall distance concept between
simulator and track operation is proposed. The methodology is tested in an experiment with
professional race car drivers. For this purpose, driving tasks are performed on a race track and
in driving simulation. For the latter, two distinctive settings are considered by activating and
deactivating the motion system. Absolute behavioural validity is identified to range between
40.47% and 59.29% across all participants and simulator settings. The proposed method allows
to quantify a change in validity depending on the simulator’s settings. The transformation or
trend towards track operation characteristics when activating the motion system ranges from 1.29%
to 3.31%. As a result, absolute and relative progress of simulator developments become readily apparent.
Original language | English |
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Title of host publication | Proceedings of the FISITA Web Congress 2020 |
Publisher | Fédération Internationale des Sociétés d'Ingénieurs des Techniques de l'Automobile FISITA |
Number of pages | 8 |
Publication status | Published - 2020 |
Event | FISITA Web Congress 2020 - Virtuell, Czech Republic Duration: 24 Nov 2020 → 24 Nov 2020 https://go.fisita.com/fisita2020 |
Conference
Conference | FISITA Web Congress 2020 |
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Country/Territory | Czech Republic |
City | Virtuell |
Period | 24/11/20 → 24/11/20 |
Internet address |
ASJC Scopus subject areas
- Automotive Engineering
Projects
- 1 Active
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DVS: Vehicle Dynamics
Koglbauer, I. V., Lex, C., Shao, L., Semmer, M., Rogic, B., Peer, M., Hackl, A., Sternat, A. S., Schabauer, M., Samiee, S., Eichberger, A., Ager, M., Malić, D., Wohlfahrter, H., Scherndl, C., Magosi, Z. F., Orucevic, F., Puščul, D., Arefnezhad, S., Karoshi, P., Schöttel, C. E., Pandurevic, A., Harcevic, A., Wellershaus, C., Li, H., Mihalj, T., Kanuric, T., Gu, Z., Wallner, D., De Cristofaro, F., Soboleva, K., Nalic, D., Bernsteiner, S., Kraus, H., Zhao, Y., Bodner, J., Bui, D. T., Hirschberg, W., Plöckinger, M. & Khoshnood Sarabi, N.
1/01/11 → 31/12/24
Project: Research area
Research output
- 3 Conference paper
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Investigations on Model Predictive Control Objectives for Motion Cueing Algorithms in Motorsport Driving Simulators
Schwarzhuber, T., Graf, M. & Eichberger, A., 2021, Proceedings of the 32nd IEEE Intelligent Vehicles Symposium 2021. IEEE Press, p. 49-54 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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Replication of Near-Limit Lateral Vehicle Dynamics in a Four DOF Driving Simulator
Schwarzhuber, T., Wörle, L., Graf, M. & Eichberger, A., 2021, Proceedings of the Driving Simulation Conference 2021. Driving Simulation Association, 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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Drivers’ Controlled Stimuli in Nonlinear Vehicle Dynamics Driving Simulation
Schwarzhuber, T., von Schleinitz, J., Geiser, H., Graf, M. & Eichberger, A., 10 Sept 2020, Proceedings of the Driving Simulation Conference 2020. Driving Simulation Association, p. 45 52 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access