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Traffic signal optimization framework using interpretable machine learning technique under heterogeneous-autonomy traffic environment
Mohammed Al-Turki, Mohammad Tamim Kashifi, Nedal T. Ratrout and Syed Masiur Rahman Neural Computing and Applications 36(22) 13761 (2024) https://doi.org/10.1007/s00521-024-09694-y
Forecasting the number of road accidents in Poland using trend models depending on the days of the week
An Estimate of the Number of Accidents on Polish Highways Based on the Kind of Road
Piotr Gorzelańczyk and Przemysław Grobelny Communications - Scientific letters of the University of Zilina 26(1) F13 (2024) https://doi.org/10.26552/com.C.2024.012
Forecasting the number of road accidents in Poland using weather-dependent trend models
Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data
Mohammad Tamim Kashifi, Mohammed Al-Turki and Abdul Wakil Sharify International Journal of Transportation Science and Technology 12(3) 793 (2023) https://doi.org/10.1016/j.ijtst.2022.07.003
Forecasting the number of road accidents in Poland by day of the week and the impact of pandemics and pandemic-induced changes
Impact of the COVID-19 pandemic on road traffic accident forecasting in Poland and Slovakia
Martin Jurkovic, Piotr Gorzelanczyk, Tomas Kalina, Jaroslav Jaros and Malaya Mohanty Open Engineering 12(1) 578 (2022) https://doi.org/10.1515/eng-2022-0370
Forecasting the road accident rate and the impact of the covid 19 on its frequency in the polish provinces
Piotr Gorzelańczyk, Martin Jurkovič, Tomáš Kalina and Malaya Mohanty Communications - Scientific letters of the University of Zilina 24(4) A216 (2022) https://doi.org/10.26552/com.C.2022.4.A216-A231
Road traffic accidents: An overview of data sources, analysis techniques and contributing factors