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Faculty of Technical Sciences in Čačak, University of Kragujevac , Kragujevac , Serbia
Faculty of Technical Sciences in Čačak, University of Kragujevac , Kragujevac , Serbia
Faculty of Technical Sciences in Čačak, University of Kragujevac , Kragujevac , Serbia
Faculty of Technical Sciences in Čačak, University of Kragujevac , Kragujevac , Serbia
The paper presents an example of the application of artificial neural networks for predicting the type of traffic accidents. Data for the period January-December 2019 in Čačak were analyzed. Data was collected from the open data portal https://data.gov.rs. Microsoft Visual Studio and Microsoft SQL Server Management Studio were used as tools. The model consists of an input layer (with parameters date, time and type), a hidden layer and an output layer with one neuron for predicting the type of accident. In order to evaluate the obtained model, 10-fold cross validation was used. Web-based application was created to display the results. The advantage is reflected in the Web-based application that allows users to use an artificial neural network while the limitations of the study require a larger number of measurements for more accurate results.
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