Abstract
The current road traffic accident (RTA) trends in Nigeria had not been modelled. Modelling the pattern of RTAs would assist in estimating future occurrences. The aim of this work is to develop a mathematical model capable of forecasting road traffic accident cases in Nigeria. The method adopted was a time series analysis of Box-Jenkins Autoregressive Integrated Moving Average (ARIMA). RTA data from the Federal Road Safety Corps FRSC , Abuja, were employed in analysing a 57-year accidents time series from 1960–2016. Dual statistical software namely: Microsoft Excel 2010 and SPSS 16.0 versions were employed in the computation and to ascertain the adequacy of the predictive model developed. From the results obtained, ARIMA (1, 1, 1)1 model fit the pattern of road traffic accident cases in Nigeria. The result obtained was used to assess the performance of FRSC on road traffic casualty reduction in Nigeria. A 5-year forecast of road traffic accident occurrences from 2017 to 2021 was estimated. It was observed that, if the current situation remains, road traffic accident cases and road traffic casualties annually in Nigeria would approximate 8000–12,000 and 34,000–40,000, respectively. The outcome of this research would be very useful to Road Safety Agencies and Nigeria Government in policy formulations and implementation, aimed at road traffic accident prevention and control in Nigeria.
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Oreko, B.U., Okiy, S. (2019). Application of Box-Jenkins Model in Predicting Road Traffic Crashes in Nigeria. In: Ao, SI., Kim, H., Amouzegar, M. (eds) Transactions on Engineering Technologies. WCECS 2017. Springer, Singapore. https://doi.org/10.1007/978-981-13-2191-7_12
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DOI: https://doi.org/10.1007/978-981-13-2191-7_12
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