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Forecasting the Number of Traffic Accidents in Jordan using the Poisson Regression Model |
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PP: 1775-1780 |
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doi:10.18576/isl/120403
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Author(s) |
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Adeeb Ahmed AL Rahamneh,
Mohammed Ali Kriem Alzubeidi,
Yaser Ahmad Arabyat,
Sulieman Ibraheem Shelash Al-Hawary,
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Abstract |
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| The study aims at forecasting the number of traffic accidents in Jordan for the year 2022, based on the monthly data related to traffic accidents for the period (2017–2021) using the Poisson regression model. SPSS version 26 and Minitab version 19 data analysis programs were used to analyze the collected data. The study concluded that the use of the Poisson regression model is very appropriate to forecast the number of traffic accidents during the next period of time. The Poisson regression method is a useful method for estimating and forecasting. The researchers recommend adoption of this technique in related studies, conducting more extensive studies on the Poisson regression model, and reconsidering the current legislation and the penalties related to traffic accidents.
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