Over the last decade, the impressive technological advancement around artificial intelligence have encouraged and stimulated much research on driverless cars. Inevitability, such novelty casts huge speculation on its effective deployment in the urban reality. The viability issue of cybercars demands appropriate research so as to infer and validate upcoming impacts at different levels, especially the mobility level, and address new performance measures intrinsic to this novel transportation paradigm. Therefore, this paper presents a short overview perspective about the definitions around the so-called autonomous vehicles. Additionally, as long as multivariate modelling is concerned, this position paper contributes with insights that span some of the future problematics and research questions regarding the automated vehicles topic.


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    Title :

    Multivariate modelling for autonomous vehicles: Research trends in perspective


    Contributors:


    Publication date :

    2016-11-01


    Size :

    174459 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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