Drivers are generally good at anticipating driving situations. They use implicit cues, such as lateral and longitudinal movements of other vehicles and contextual cues such as characteristics of the prevailing situation. These cues also help drivers in adapting their driving behaviour, such as whether or not to cooperate on the road with other road users in a specific situation. Predicting the intentions of other road users using these cues is also important for automated vehicles: i) to facilitate accident-free and smooth driving ii) to improve cooperation with other road users, and iii) to adjust manoeuvre behaviour depending on the dynamic situation when interacting with other road users To investigate different manoeuvres performed in a specific scenario in combination with systematically varied implicit and contextual cues, we conducted a driving simulator study on a highway consisting of twelve on-ramp situations with 36 participants. To gain a deeper insight into the driver’s perception of the cooperativeness of the automated vehicle depending on the chosen strategy, we used the thinking-aloud method and interviewed the participants after the experiment. Additionally, participants rated their experienced trust and acceptance of the manoeuvre design after each situation.


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    Titel :

    Investigation of Implicit and Contextual Cues for the Facilitation of Cooperative Automated Driving: A Qualitative Analysis


    Weitere Titelangaben:

    Lect.Notes Mechanical Engineering


    Beteiligte:
    Carfagni, Monica (Herausgeber:in) / Furferi, Rocco (Herausgeber:in) / Di Stefano, Paolo (Herausgeber:in) / Governi, Lapo (Herausgeber:in) / Gherardini, Francesco (Herausgeber:in) / Dettmann, Andre (Autor:in) / Berkemeier, Adelina (Autor:in) / Felbel, Konstantin (Autor:in) / Bullinger, Angelika C. (Autor:in)

    Kongress:

    International Conference of the Italian Association of Design Methods and Tools for Industrial Engineering ; 2023 ; Florence, Italy September 06, 2023 - September 08, 2023



    Erscheinungsdatum :

    07.05.2024


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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