This chapter covers topics related to big data sources, methods and applications in transportation and mobility research. Big data sources covered include data from vehicle-based and infrastructure-based sensors. Methods from traditional regression to machine-learning and AI are discussed in terms of prediction and inference goals. Finally, example use cases of Big Data and AI are discussed in the context of safety, travel and micromobility.


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    Title :

    Big Data in Road Transport and Mobility Research


    Additional title:

    Lecture Notes in Intelligent Transportation and Infrastructure


    Contributors:


    Publication date :

    2022-09-08


    Size :

    24 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English






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