Abstract
There is not yet sufficient knowledge on how people want to be driven in a highly automated vehicle. Currently, trajectory behaviour as one part of the driving style is mostly implemented as a lane-centric position of the vehicle in the lane, but drivers show quite different preferences, especially with oncoming traffic. A driving simulator study was conducted to investigate seemingly natural reactive driving trajectories on rural roads in an oncoming traffic scenario to better understand people’s preferences regarding driving styles. 30 subjects experienced a static and a reactive (based on manual driving) trajectory behaviour on the most common lane widths in Germany: 2.75 m and 3.00 m. There were twelve oncoming traffic scenarios with vehicle variations in type (trucks or cars), quantity (one or two in a row) and position (with or without lateral offset to the road centre) in balanced order. Results show that reactive trajectory behaviour and wider lane widths lead to significantly higher perceived safety. We also identified quantity, type and position of oncoming vehicles as factors that influence perceived safety during automated driving. Trucks and vehicles with lateral offset to the road centre lead to significantly lower perceived safety. We recommend an adaptive driving trajectory, which modifies trajectory behaviour on different lane widths and adjusts its behaviour on type and position of oncoming vehicles. The results of the study help to design an accepted, preferred and trustfully trajectory behaviour for highly automated vehicles.
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References
Banks, V.A., Stanton, N.A.: Keep the driver in control: automating automobiles of the future. Appl. Ergon. 53, 389–395 (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, vol. 6. Tagung Fahrerassistenz, München (2013)
Mayr, J., Bengler, K.: Literaturanalyse und methodenauswahl zur gestaltung von systemen zum hochautomatisierten fahren. FAT-Schriftenreihe 276, 1–57 (2015)
Siebert, F.W., Oehl, M., Höger, R., Pfister, H.-R.: Discomfort in automated driving – the disco-scale. In: Stephanidis, C. (ed.) HCI 2013. CCIS, vol. 374, pp. 337–341. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-39476-8_69
Festner, M., Baumann, H., Schramm, D.: Der Einfluss fahrfremder Tätigkeiten und Manöverlängsdynamik auf die Komfort- und Sicherheitswahrnehmung beim hochautomatisierten Fahren. 32nd 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: Proceedings of 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? Validation study. Hum. Fact. 59(3), 442–456 (2017). https://doi.org/10.1177/0018720816682647
Lex, C., et al.: Objektive erfassung und subjektive bewertung menschlicher trajektoriewahl in einer naturalistic driving study. VDI-Ber Nr. 2311, 177–192 (2017)
Dijksterhuis, C., Stuiver, A., Mulder, B., Brookhuis, K.A., de Waard, D.: An adaptive driver support system: user experiences and driving performance in a simulator. Hum. Fact. 54(5), 772–785 (2012). https://doi.org/10.1177/0018720811430502
Mecheri, S., Rosey, F., Lobjois, R.: The effects of lane width, shoulder width, and road cross-sectional reallocation on drivers’ behavioral adaptations. Accid. Anal. Prev. 104, 65–73 (2017). https://doi.org/10.1016/j.aap.2017.04.019
Schlag, B., Voigt, J.: Auswirkungen von Querschnittsgestaltung und laengsgerichtet Markierungen auf das Fahrverhalten auf Landstrassen. Berichte der Bundesanstalt fuer Strassenwesen. Unterreihe Verkehrstechnik, no. 249 (2015)
Roßner, P. Bullinger, A.C.: Drive me naturally: design and evaluation of trajectories for highly automated driving manoeuvres on rural roads. In: Technology for an Ageing Society, Postersession Human Factors and Ergonomics Society Europe Chapter 2018 Annual Conference, Berlin (2018)
Rossner, P., Bullinger, A.C.: Do you shift or not? Influence of trajectory behaviour on perceived safety during automated driving on rural roads. In: Krömker, H. (ed.) HCII 2019. LNCS, vol. 11596, pp. 245–254. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22666-4_18
Van der Laan, J.D., Heino, A., De Waard, D.: A simple procedure for the assessment of acceptance of advanced transport telematic. Transp. Res. Emerg. Technol. 5(1), 1–10 (1997)
Jian, J.Y., Bisantz, A.M., Drury, C.G.: Foundations for an empirically determined scale of trust in automated systems. Int. J. Cogn. Ergon. 4(1), 53–71 (2000)
Voß, G., Schwalm, M.: Bedeutung kompensativer fahrerstrategien im kontext automatisierter fahrfunktionen. Berichte der Bundesanstalt für Straßenwesen, Fahrzeugtechnik Heft F 118 (2017). ISBN 978–3-95606-327-5
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 KonstantinFelbel Marty Friedrich and Maximilian Hentschel for their assistance with data collection and analysis.
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Rossner, P., Bullinger, A.C. (2020). I Care Who and Where You Are – Influence of Type, Position and Quantity of Oncoming Vehicles on Perceived Safety During Automated Driving on Rural Roads. In: Krömker, H. (eds) HCI in Mobility, Transport, and Automotive Systems. Driving Behavior, Urban and Smart Mobility. HCII 2020. Lecture Notes in Computer Science(), vol 12213. Springer, Cham. https://doi.org/10.1007/978-3-030-50537-0_6
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