- author = "Matej Babic and Branko Ster and Janez Povh and Joel J. P. C. Rodrigues",
- title = "A New Composite Method of Modeling Bicycle Traffic using Convolutional Neural Networks and Genetic programming",
- booktitle = "2021 6th International Conference on Smart and Sustainable Technologies (SpliTech)",
- year = "2021",
- month = sep,
- keywords = "genetic algorithms, genetic programming, ANN, GoNM",
-
DOI = "
doi:10.23919/SpliTech52315.2021.9566405",
- abstract = "This study proposes a new composite method of modelling 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 30000 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.",
-
notes = "Also known as \cite{9566405} See also
\cite{babic:2022:IJQR}
Faculty of Information studies, Novo mesto, Slovenia",
