Identification of safe driving based on data mining on large naturalistic data

    Project Details

    Description

    The project focused on the classification of driving style using naturalistic driving data
    Short titleSAFEMIND
    AcronymSAFEMIND
    StatusFinished
    Effective start/end date01/01/201430/06/2015

    Collaborative partners

    • Volvo Group
    • Chalmers University of Technology (lead)
    • The Institute of Transport Economics

    UN Sustainable Development Goals

    In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

    • SDG 3 - Good Health and Well-being
    • SDG 9 - Industry, Innovation, and Infrastructure
    • SDG 11 - Sustainable Cities and Communities

    Keywords

    • driving style classification
    • Driver behaviour
    • Driving habits
    • naturalistic driving data

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