The invention provides an automatic driving search decision-making method based on a decision-making tree. The method comprises the steps that A, a search track sequence and a passenger carrying tracksequence of each taxi are acquired, and the carrying efficiency of each taxi on the same day is calculated; B, grid points with the specified size are divided in the city range, traffic decision attributes in all the grid points are calculated, and the characteristics of a search path are calculated; and C, the decision-making tree is constructed by using an ID3 method and other methods, importance ranking is performed, and the decision-making tree is verified. The method is high in universality, objectivity and feasible reliability and has better reliability compared with a traditional method; and the problems can be objectively and systematically solved, an accurate and credible search process decision factor evaluation result is obtained, and the defects of an existing method are overcome.

Automatic driving search decision-making method based on decision-making tree

The invention discloses a construction method of a dynamic decision tree The method includes: constructing a decision table, digitalizing the decision table, extracting a dynamic decision tree, categorizing decisions, and the like The construction method has the advantages that perceptive intelligence is fused into an information decision system so as to form an intelligent information decision system, the searching and decision categorizing efficiency of the information decision system is increased, and the construction method is high in application value

Construction method of dynamic decision tree

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Construction method of dynamic decision tree