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  • A New Composite Method of Modeling Bicycle Traffic using Convolutional Neural Networks and Genetic programming [Elektronski vir]
    Babič, Matej, matematik ...
    This study proposes a new composite method of modeling bicycle traffic in the town of Novo mesto, Slovenia, using Convolutional neural networks and Genetic programming. Public passenger transport ... (PPT) is important for every municipality, as the current transport system faces well-known problems such as congestion, environmental impact, lack of parking areas, increased safety risks and high energy consumption. The wider Novo mesto region, with about 30,000 inhabitants, is an important industrial center and is heavily dependent on urban traffic. The aim of the research is to analyze and model bicycle rentals. Convolutional neural networks and genetic programming are used to predict bicycle traffic over 35 weeks.
    Vir: 6th International Conference on Smart and Sustainable Technologies, 8-11 September 2021, [Split and Bol, Croatia] [Elektronski vir] (Str. [1-6])
    Vrsta gradiva - prispevek na konferenci ; neleposlovje za odrasle
    Leto - 2021
    Jezik - angleški
    COBISS.SI-ID - 89056771

    Povezava(-e):

    https://ieeexplore.ieee.org/document/9566405
    DOI

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