Abstract
At present, researchers and car manufacturers are focusing on the implementation of automated vehicles in road transport, which leads to mixed traffic containing automated vehicles and manual drivers. To realize this project, it is essential to understand the communicational processes and the interaction of contemporary road users. This paper focuses on investigating the interaction at bottlenecks caused by obstacles on both sides of the road, for instance due to double parking. The authors explore how drivers communicate to a simultaneously oncoming vehicle that they intend to pass through the narrow section first. As a method, a traffic observation was conducted. The results show that drivers almost exclusively use implicit means of communication. Moreover, four different interaction strategies could be found. Based on the underlying observation data, the authors provide recommendations on how automated vehicles might communicate implicitly by adopting the communication processes observed in the field study.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Metz, D.: Developing Policy for Urban Autonomous Vehicles: Impact on Congestion. Urban Sci. 2(2), 33–43 (2018)
Straßenverkehrs-Ordnung: StVO (2013)
Juhlin, O.: Traffic behavior as social interaction - implications for the design of artificial drivers. Intell. Transp. Syst. (1999)
Fuest, T., Sorokin, L., Bellem, H., Bengler, K.: Taxonomy of Traffic Situations for the Interaction between Automated Vehicles and Human Road Users. In: Stanton, N. (ed.) Advances in Human Aspects of Transportation, pp. 708–719. Springer, Cham (2018)
Imbsweiler, J., Ruesch, M., Palyafári, R., Deml, B., Puente León, B.: Entwicklung einer Beobachtungsmethode von Verhaltensströmen in kooperativen Situationen im innerstädtischen Verkehr (2016)
Dietrich, A., et al.: interACT: designing cooperative interaction of automated vehicles with other road users in mixed traffic environments. interACT D.2.1 Preliminary description of psychological models on human-human interaction in traffic (2018)
Döring, N., Bortz, J.: Forschungsmethoden und Evaluation in den Sozial- und Humanwissenschaften, 5th edn. Springer, Heidelberg (2016)
Rettenmaier, M., Pietsch, M., Schmidtler, J., Bengler, K.: Passing through the Bottleneck - The Potential of External Human-Machine Interfaces. In: IEEE Intelligent Vehicles Symposium (IV) (2019, in Press)
Acknowledgments
The German Federal Ministry of Economics and Energy funded this research within the project @City: Automated Cars and Intelligent Traffic in the City.
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
Rettenmaier, M., Requena Witzig, C., Bengler, K. (2020). Interaction at the Bottleneck – A Traffic Observation. In: Ahram, T., Karwowski, W., Pickl, S., Taiar, R. (eds) Human Systems Engineering and Design II. IHSED 2019. Advances in Intelligent Systems and Computing, vol 1026. Springer, Cham. https://doi.org/10.1007/978-3-030-27928-8_37
Download citation
DOI: https://doi.org/10.1007/978-3-030-27928-8_37
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-27927-1
Online ISBN: 978-3-030-27928-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)