Abstract
In the future, cyclists will interact with highly automated vehicles (HAV) in urban mixed traffic, especially at junctions and intersections. Previous research focused on HAV interactions with pedestrians, whereas HAV interactions with cyclists are yet understudied. Therefore, we conducted two studies (video, cycling simulator) to examine how an HAV should behave in an interaction with cyclists. Specifically, we explored when cyclists want the HAV to start braking and how much perceived risk cyclists are willing to accept in HAV interactions. Results show that cyclists’ choice of braking onset of the HAV depended on the timing (ideal vs. last acceptable) and vehicle speed (30 km/h vs. 50 km/h). Subjective ratings showed that cyclists in both studies aim to avoid experiencing risk in HAV interactions but also accepted riskier interactions in the cycling simulator. The studies provide first insights into cyclists’ risk perception in an HAV interaction and contribute first ideas to the design of HAV driving behavior in the interaction with cyclists.
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References
SAE Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles (2018). https://saemobilus.sae.org/content/J3016_201806
Tabone, W., et al.: Vulnerable road users and the coming wave of automated vehicles: expert perspectives. Transp. Res. Interdisc. Perspect. 9, 100293 (2021). https://doi.org/10.1016/j.trip.2020.100293
Ackermann, C., Beggiato, M., Bluhm, L.-F., Löw, A., Krems, J.: Deceleration parameters and their applicability as informal communication signal between pedestrians and automated vehicles. Transp. Res, Part F Traffic Psychol. Behav. 62, 757–768 (2019). https://doi.org/10.1016/j.trf.2019.03.006
Fagnant, D., Kockelman, K.: Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transp. Res. Part A Policy Pract. 77, 167–181 (2015). https://doi.org/10.1016/j.tra.2015.04.003
Markkula, G., et al.: Defining interactions: a conceptual framework for understanding interactive behaviour in human and automated road traffic. Theoret. Issues Ergon. Sci. 21, 1–25 (2020). https://doi.org/10.1080/1463922X.2020.1736686
Beggiato, M., Witzlack, C., Springer, S., Krems, J.: The right moment for braking as informal communication signal between automated vehicles and pedestrians in crossing situations. In: Stanton, Neville A. (ed.) AHFE 2017. AISC, vol. 597, pp. 1072–1081. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-60441-1_101
Fuest, T., Michalowski, L., Träris, L., Bellem, H., Bengler, K.: Using the driving behavior of an automated vehicle to communicate intentions – a wizard of Oz study. In: Proceedings of the 21st International IEEE Annual Conference on Intelligent Transportation Systems (ITSC, 2018), pp. 3596–3601 (2018). https://doi.org/10.1109/ITSC.2018.8569486
Fuest, T., Maier, A., Bellem, H., Bengler, K.: How should an automated vehicle communicate its intention to a pedestrian? – a virtual reality study. In: Ahram, T., Karwowski, W., Pickl, S., Taiar, R. (eds.) IHSED 2019. AISC, vol. 1026, pp. 195–201. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-27928-8_30
Fritz, N., Kobiela, F., Manstetten, D., Korthauer, A., Bengler, K.: Designing the interaction of highly automated vehicles with cyclists in urban longitudinal traffic: relevant use cases and methodical considerations. In: 12th Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 8–11 (2020). https://doi.org/10.1145/3409251.3411710
Hou, M., Mahadevan, K., Somanath, S., Sharlin, E., Oehlberg, L: Autonomous vehicle-cyclist interaction: peril and promise. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1–12 (2020). https://doi.org/10.1145/3313831.3376884
Hagenzieker, M.P., et al.: Interactions between cyclists and automated vehicles: Results of a photo experiment*. J. Transp. Saf. Secur. 12(1), 94–115 (2019). https://doi.org/10.1080/19439962.2019.1591556
Kaß, C., Schoch, S., Naujoks, F., Hergeth, S., Keinath, A., Neukum, A.: A methodological approach to determine the benefits of external HMI during interactions between cyclists and automated vehicles: a bicycle simulator study. In: Krömker, Heidi (ed.) HCII 2020. LNCS, vol. 12213, pp. 211–227. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-50537-0_16
Neukum, A., Lübbeke, T., Krüger, H.-P., Mayser, C., Steinle, J.: ACC-Stop&Go: Fahrerverhalten an funktionalen Systemgrenzen. In: Maurer, M., Stiller, C. (eds.) 5 Workshop Fahrerassistenzsysteme – FAS 2008, pp.141–150 (2008)
Acknowledgments
The research presented in this paper was funded by the German Federal Ministry of Transport and Digital Infrastructure in the project AFiM 16AVF2112A of the funding program Automated and Connected Driving. We thank Isabella Fernandez Rodriguez for her support in data collection.
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Stange, V., Goralzik, A., Vollrath, M. (2021). Keep Your Distance, Automated Vehicle! – Configuration of Automated Driving Behavior at an Urban Junction from a Cyclist’s Perspective. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2021. Lecture Notes in Networks and Systems, vol 270. Springer, Cham. https://doi.org/10.1007/978-3-030-80012-3_45
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