Auxiliary driving automobile accident evidence chain generation method and system based on association rule

Abstract

The invention discloses an association rule-based auxiliary driving automobile accident evidence chain generation method and system, and the method comprises the steps: collecting auxiliary driving automobile accident related data, intercepting the data according to a preset time sequence length, and generating a plurality of time sequence evidence items; carrying out standardization and dimension reduction preprocessing on all time sequence evidence items, carrying out data discretization, and extracting change features on the time sequence; mining an association rule of a single time sequence evidence item and an association rule of a plurality of time sequence evidence items by using an Apriori algorithm; screening the association rules of the plurality of time sequence evidence items according to a credibility threshold value and a lifting degree threshold value, and determining an effective association rule; and determining an accident evidence chain of the auxiliary driving automobile according to the effective association rule. According to the method, a complete logic chain between evidences can be effectively constructed.

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