Autonomous Vehicles (AVs) have a large potential to improve traffic safety but also pose some critical challenges. While AVs may help reduce crashes caused by human error, they still may experience failures of technologies and sensing, as well as decision-making errors in a mixed traffic environment. A disengagement refers to an AV transitioning control from autonomous systems to the trained test driver. The safety critical nature of disengagements makes it imperative to analyze disengagements and crashes together. This study analyzes both crashes and disengagements from real-world AV driving in California to fill the knowledge gap regarding the relationship between disengagements and crashes in a mixed traffic environment. A nested logit model was calibrated using three different outcomes: (1) disengagement with a crash, (2) disengagement with no crash, and (3) no disengagement with a crash. Furthermore, endogenous switching regime models were also calibrated to draw distinctions between the relation of disengagements and crashes while accounting for endogeneity effects. The results show that factors related to AV systems (such as software failures) and other roadway participants increase the propensity of a disengagement without a crash. Furthermore, AVs were observed to disengage less often as the technology matured over time. Marginal effects revealed an 8% decrease. The results thus suggest that disengagements are a part of AVs’ safe performance and disengagement alerts may need to be triggered in order to avoid certain failures with current technology.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Exploratory Investigation of Disengagements and Crashes in Autonomous Vehicles Under Mixed Traffic: An Endogenous Switching Regime Framework


    Beteiligte:


    Erscheinungsdatum :

    2021-12-01


    Format / Umfang :

    3118374 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    An Exploratory Analysis of Crashes Involving Autonomous Vehicles

    Pamidimukkala, Apurva / Kermanshachi, Sharareh / Patel, Ronik | TIBKAT | 2023


    INVESTIGATING TRAFFIC CRASHES INVOLVING AUTONOMOUS VEHICLES

    Torres, J. / Li, Y. / Zhang, J. | TIBKAT | 2021


    Operator vigilance using disengagements and headlight modifications

    KUEHNER MANUEL LUDWIG / YASUDA HIROSHI | Europäisches Patentamt | 2024

    Freier Zugriff

    Impact of Autonomous Vehicles on Traffic Crashes in Comparison with Conventional Vehicles

    Channamallu, Sai Sneha / Kermanshachi, Sharareh / Pamidimukkala, Apurva | TIBKAT | 2023