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Insight into cooperation processes for traffic scenarios: modelling with naturalistic decision making

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Abstract

With the introduction of automatic vehicle guidance (AV), mixed traffic scenarios between automatically and manually guided vehicles are to be expected, at least during a transitions phase. To ensure the safety of motor vehicle transportation, it will be essential to develop a cooperative relationship between human drivers and AV. Research in this area is currently being done to gain insight into the manner of human drivers’ decisions to transfer the same behaviours to automatic vehicle guidance. A lot of research is being done to prepare for the introduction of AV, but there is still a lack of information on how individual road users make decisions in cooperative decisions. Currently, there is no study that has tried to understand the decision-making process with the help of an online-survey. For that reason, a questionnaire study on cooperative traffic situations (N = 281) was carried out, which was analysed with the Natural Decision Making approach. By means of the NDM approach and the use of the recognition module, links between planned action and the expected action between road users were identified. Furthermore, it was possible to categorize individual communication signals into offensive or defensive signals and thus make predictions about the intention of the driver. These findings can be used to derive design recommendations for automatic vehicle guidance in cooperative situations.

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Acknowledgements

This project was funded within the Priority Programme (SPP 1835) “Cooperatively Interacting Automobiles” of the German Science Foundation DFG. The authors thank the project partners for the fruitful cooperation.

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Authors and Affiliations

  1. Faculty of Mechanical Engineering, Ifab-Institute of Human and Industrial Engineering, Karlsruhe Institute of Technology, 76131, Karlsruhe, Germany

    Jonas Imbsweiler, M. Ruesch & B. Deml

  2. Faculty of Engineering, Computer Science and Psychology, Department of Human Factors, Ulm University, 89069, Ulm, Germany

    T. Stoll & M. Baumann

Authors
  1. Jonas Imbsweiler
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  2. T. Stoll
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  3. M. Ruesch
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  4. M. Baumann
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  5. B. Deml
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Correspondence to Jonas Imbsweiler.

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Imbsweiler, J., Stoll, T., Ruesch, M. et al. Insight into cooperation processes for traffic scenarios: modelling with naturalistic decision making. Cogn Tech Work 20, 621–635 (2018). https://doi.org/10.1007/s10111-018-0518-7

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