This paper presents a method to identify inevitable collision states (ICS) specifically for a motorcycle when interacting with an opponent passenger car in typical traffic scenarios. Previous ICS methods were applied to passenger cars or generic vehicles; however, the peculiarities of motorcycles urge the definition of specific methods for these vehicles. The findings extend the applicability of previous algorithms to include all motorcycle-to-car collisions, irrespective of collision configurations. ICS identification can be adopted as a triggering criterion for more invasive safety systems such as motorcycle autonomous emergency braking (MAEB), which require a last-resort approach in their initial phases of development. In this regard, this paper also presents an evaluation of an idealized MAEB through experiments simulating real-world crashes in a computer-based virtual environment.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Inevitable Collision States for Motorcycle-to-Car Collision Scenarios




    Publication date :

    2016




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    BKL:    55.84 Straßenverkehr / 55.24 / 55.84 / 55.24 Fahrzeugführung, Fahrtechnik



    Inevitable Collision States for Motorcycle-to-Car Collision Scenarios

    Savino, Giovanni / Giovannini, Federico / Fitzharris, Michael et al. | IEEE | 2016

    Free access


    Triggering Algorithm Based on Inevitable Collision States for Autonomous Emergency Braking (AEB) in Motorcycle-To-Car Crashes

    Savino, Giovanni / Pierini, Marco / Brown, Julie et al. | British Library Conference Proceedings | 2015


    A Collision Avoidance Strategy Based on Inevitable Collision State

    Yu, Liangyao / Wang, Ruoqi / Huang, Yong | SAE Technical Papers | 2022


    A Collision Avoidance Strategy Based on Inevitable Collision State

    Wang, Ruoqi / Yu, Liangyao / Huang, Yong | British Library Conference Proceedings | 2022