The number of road accidents in the world is decreasing year by year. This number has been affected by the pandemic in recent years but is still very high. Therefore, it is necessary to take all possible measures and steps to reduce this number. The objective of the article is to forecast the number of road accidents in Poland depending on the day of the week. For this purpose, the annual data on the number of road accidents in Poland broken down by days of the week were analyzed, and a forecast for the years 2022-2040 was prepared on the basis of the police statistics. The forecast was made using selected models of neural networks. The research results show that a decrease in in the number of road accidents can be expected. However, the obtained results could be affected by the selected number of random samples (training, testing and validation).


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Forecasting the Number of Road Accidents in Poland Depending on the Day of the Week using Neural Networks


    Beteiligte:


    Erscheinungsdatum :

    2023




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt





    Fatality Prediction in Road Accidents Using Neural Networks

    Rekha Sundari, M. / Reddi, Prasadu / Satyanarayana Murthy, K. et al. | Springer Verlag | 2023


    ROAD SAFETY AND THE CAUSES OF ROAD ACCIDENTS IN POLAND

    Piotr GORZELANCZYK / Martin JURKOVIČ / Justyna SKIBIŃSKA et al. | DOAJ | 2022

    Freier Zugriff

    Forecasting the Number of Traffic Accidents in Jakarta Using Artificial Neural Network

    Yulianti, Henny / Pranoto, Gatot Tri / Yaddarabullah et al. | IEEE | 2023


    FORECASTING ROAD TRANSPORT ENERGY CONSUMPTION USING ARTIFICIAL NEURAL NETWORKS

    La Franca, L. / Zito, P. | British Library Conference Proceedings | 2005