Communications - Scientific letters of the University of Zilina · 2022 · 17 citations · 26 references
Public HealthTransportation PlanningForecastingTransportTransportationRoad SafetyTraffic Impact AssessmentTraffic SafetyTransport ModellingTransport SafetyTransportation SafetyAccident Risk PredictionAutoregressive Time Series ModelsRoad Safety ManagementRoad Traffic CrashesTraffic Accident AnalysisTraffic Accident RiskTraffic Crash Analysis
The COVID-19 pandemic has significantly affected the development of road transport, not only in Poland, but also worldwide. Limited mobility, especially at the beginning of the pandemic, had a large impact on the number of road accidents. The aim of the present study is to predict the number of road accidents in Poland and to assess the impact of the COVID-19 pandemic on variability of the number of road accidents. To attain the objective, annual data on the road accidents for every province in Poland were collected and analysed. Based on historical crash data, obtained from the police, the number of road accidents was forecasted for both pandemic and non-pandemic scenarios. Selected time series models and exponential models were used to forecast the number of accidents.
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An exponential model for the spectrum of a scalar time series
Peter Bloomfield · Biometrika · 1973 · 641 citations
Computing, Data Science, Forecasting +16
Elmustafa Sayed Ali, Mohammad Kamrul Hasan, Rosilah Hassan et al. · Security and Communication Networks · 2021 · 242 citations · Full text