ARIMA模型在交通事故预测中的应用

    Application of ARIMA Model in Forecasting Traffic Accidents

    • 摘要: 通过ARIMA模型分析了1970—1997年中国交通事故的十万人口死亡率时间序列的平稳性,用SPSS11.5软件拟合模型并作预测,结果表明,ARIMA模型能提高预测精度,在实际应用中ARIMA模型可用于非季节和季节的各类时间序列,预测较准,可以为政府和交通部门制定预防降低交通事故提供重要的数据支持.

       

      Abstract: The stability of time series and the fatality rate of 100,000 population of traffic accidents in Beijing are analyzed by ARIMA model.The ARIMA model forecasted by spss 11.5 software and it improved the pre- cision of the forecasting result.The ARIMA model is able to be used for all kinds of seasonal and non-seasonal time series in practice.The forecasting data obtained from the ARIMA model simulates the actual data well. The result is very important to the government for countermeasures making which help prevent traffic acci- dents from happening.

       

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