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.


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    Title :

    Inevitable Collision States for Motorcycle-to-Car Collision Scenarios


    Contributors:


    Publication date :

    2016-09-01


    Size :

    2138344 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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