Speeding (i.e., excessive speed) is viewed as one of the most important factors in traffic accidents. A common way to reduce such driving violations is to control speed through education and legislation. In this study, using data on speed violations in Tehran Qom intercity highway the commission of the offense for the future is studies. Forecasting methods used in this research including time series patterns Box Jenkins, Holt Winters method, the modulation technique and artificial neural networks have been used., increasing the number of speeding violations in recent years mainly due to increasing use of speed control systems, and this means that the increase in the number of speed violations is not a means to increase police surveillance.
Speed , Data Mining , Forecasting , Accidents , Safety
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