Abstract
Automated driving is an ever-fast developing technology which is going to change the traffic system fundamentally. This development raises the question about how to interact in urban, less-regulated situations involving automated vehicles (AV) and vulnerable road users (VRU) like cyclists and/or pedestrians. Thus, it is essential to gain an understanding of interactions between VRU and current, mainly non-automated vehicles. This study focusses on cyclist-vehicle interaction and raises the questions whether there are typical interaction parameters. To address these issues, data of a previous Naturalistic Cycling Study (NCS), was re-analyzed. The selected sample consisted of 11 cyclists (ranging from 24 to 48 years, 8 males, 3 females). The subjects’ bicycles were instrumented with two cameras (forward view and face of the rider) that recorded a four-week lasting cycling period. In total, 69 interactions between cyclists and vehicles in less-regulated traffic context were analyzed. As a result of this descriptive approach, we identified common cyclist maneuvers (e.g., avoiding) and behavioral parameters (e.g., keeping constant speed) in the light of different infrastructural context. The discussion addresses the functionality of different behavioral patterns and the arising challenges for AV technology.
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Notes
- 1.
For more information about the original Naturalistic Cycling Study, see: [17].
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Acknowledgement
This study was funded by the Federal Ministry of Education and Research (grant no.: 16ES1035). We also would like to thank German Insurers Accident Research (UDV) who gave us the chance to re-analyze the original NCS data.
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Ackermann, C., Trommler, D., Krems, J. (2021). Exploring Cyclist-Vehicle Interaction – Results from a Naturalistic Cycling Study. In: Black, N.L., Neumann, W.P., Noy, I. (eds) Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021). IEA 2021. Lecture Notes in Networks and Systems, vol 221. Springer, Cham. https://doi.org/10.1007/978-3-030-74608-7_65
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