Abstract
There is not yet sufficient knowledge on how people want to be driven in highly automated vehicles. In the present study, three different driving styles - dynamic, comfortable and everyday driving - are investigated in a highway scenario to better understand people’s preferences regarding driving styles. 22 subjects experienced variations of lane change manoeuvres with two varying characteristics: duration and initiation time of the lane change manoeuvres. The more dynamic a driving style was, the shorter those two variables became. Results show that subjects prefer a more defensive driving style. The comfortable driving style caused less perceived discomfort and higher perceived safety over the whole test track. Interestingly, not even driving fun is positively influenced by a more offensive way of highly-automated driving. Later initiation times and shorter durations of lane change manoeuvres lead to significantly worse assessments of the driving style. These results deliver recommendations for driving style design.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Banks, V.A., Stanton, N.A.: Keep the driver in control: automating automobiles of the future. Appl. Ergon. (2015)
Elbanhawi, M., Simic, M., Jazar, R.: In the passenger seat: investigating ride comfort measures in autonomous cars. IEEE Intell. Transp. Syst. Mag. 7(3), 4–17 (2015). https://doi.org/10.1109/MITS.2015.2405571
Gasser, T.M.: Herausforderung automatischen Fahrens und Forschungsschwerpunkte. 6. Tagung Fahrerassistenz, München (2013)
Radlmayr, J., Bengler, K.: Literaturanalyse und Methodenauswahl zur Gestaltung von Systemen zum hochautomatisierten Fahren. FAT-Schriftenreihe, vol. 276. VDA, Berlin (2015)
Siebert, F., Oehl, M., Höger, R., Pfister, H.R.: Discomfort in automated driving – the disco-scale. In: Proceedings of HCI International 2013, Communications in Computer and Information Science, Las Vegas, USA, vol. 374, pp. 337–341 (2013)
Festner, M., Baumann, H., Schramm, D.: Der Einfluss fahrfremder Tätigkeiten und Manöverlängsdynamik auf die Komfort- und Sicherheitswahrnehmung beim hochautomatisierten Fahren. 32. VDI/VW- Gemeinschaftstagung Fahrerassistenz und automatisiertes Fahren, Wolfsburg (2016)
Griesche, S., Nicolay, E., Assmann, D., Dotzauer, M., Käthner, D.: Should my car drive as I do? What kind of driving style do drivers prefer for the design of automated driving functions? In: Contribution to 17th Braunschweiger Symposium Automatisierungssysteme, Assistenzsysteme und eingebettete Systeme für Transportmittel (AAET), ITS automotive nord e.V., pp. 185–204 (2016). ISBN 978-3-937655-37-6
Bellem, H., Schönenberg, T., Krems, J.F., Schrauf, M.: Objective metrics of comfort: developing a driving style for highly automated vehicles. Transp. Res. Part F Traffic Psychol. Behav. 41, 45–54 (2016)
Hartwich, F., Beggiato, M., Dettmann, A., Krems, J.F.: Drive me comfortable: Customized automated driving styles for younger and older drivers. 8. VDI-Tagung “Der Fahrer im 21. Jahrhundert” (2015)
Bellem, H., Klüver, M., Schrauf, M., Schöner, H.-P., Hecht, H., Krems, J.F.: Can we study autonomous driving comfort in moving-base driving simulators? A Valid. Study. Hum. Factors 59(3), 442–456 (2017). https://doi.org/10.1177/0018720816682647
Wu, B.-F., Yeh, C.-H., Chen, Y.-H.: Driving behaviour-based event data recorder. IET Intell. Transp. Syst. 8(4), 361–367 (2014)
Li, G., Li, S.E., Jia, L., Wang, W., Cheng, B., Chen, F.: Driving maneuvers analysis using naturalistic highway driving data. In: 2015 IEEE 18th International Conference on Intelligent Transportation Systems, pp. 1761–1766. IEEE (2015)
Van der Laan, J.D., Heino, A., De Waard, D.: A simple procedure for the assessment of acceptance of advanced transport telematics. Transp. Res. Part C Emerg. Technol. 5(1), 1–10 (1997)
Arndt, S.: Evaluierung der Akzeptanz von Fahrerassistenzsystemen. Modell zum Kaufverhalten von Endkunden (Verkehrspsychologie, 1st edn.). VS Verlag für Sozialwissenschaften, Wiesbaden (2011)
Acknowledgements
This research was partially supported by the German Federal Ministry of Education and Research (research project: KomfoPilot, funding code: 16SV7690K). The sponsor had no role in the study design, the collection, analysis and interpretation of data, the writing of the report, or the submission of the paper for publication. We are very grateful to Marty Friedrich and Maximilian Hentschel for their assistance with data collection and analysis.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Rossner, P., Bullinger, A.C. (2020). How Do You Want to be Driven? Investigation of Different Highly-Automated Driving Styles on a Highway Scenario. In: Stanton, N. (eds) Advances in Human Factors of Transportation. AHFE 2019. Advances in Intelligent Systems and Computing, vol 964. Springer, Cham. https://doi.org/10.1007/978-3-030-20503-4_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-20503-4_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-20502-7
Online ISBN: 978-3-030-20503-4
eBook Packages: EngineeringEngineering (R0)