Recently, road accidents considered a major public health problem worldwide, the aim of many studies is to identify the main factors that contribute to crash severity. To identify those factors this paper shows a large scale intelligent techniques, such as intelligent agents that can detect drivers' cognitive state and analyze the data in a central system, the intelligent agents use data mining techniques, especially association rules mining to identify future accident in advance and giving

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... ce to drivers to avoid the dangers. However, the association rule technique produces a huge amount of decision rules, which does not allow the decision makers to make their own selection of the most relevant rules. In this context, we believe that the visualization techniques would be particularly useful for decision makers who are suffering from the redundancy and quantity of extracted rules. An analysis of accidents on highways in the province of Marrakech (Morocco) between 2004 and 2014 showed that the proposed approach serves our purpose and may provide meaningful information that can help to develop suitable prevention policies to improve road safety.