Study on Highway Traffic Operation State Evaluation Based on GA-KFCM Algorithm
In order to improve the effect of highway traffic flow status evaluation,the study proposes an improved KFCM algo-rithm based on genetic algorithm,and verifies the classification effect of different schemes combined with case data.Firstly,the evaluation range and grade of highway traffic operation status are analyzed,and then a fuzzy C-means clustering analysis al-gorithm optimized by kernel function is proposed.On this basis,genetic algorithm is adopted to make up for the defects of ini-tial clustering center randomness.Combined with the case data,cluster analysis is carried out on the traffic running state of the improved model before and after the selection of different parameters,and the advantages and disadvantages of different ex-perimental schemes are evaluated by comprehensive indicators.The experimental results show that the clustering performance of GA-KFCM algorithm is about 5 times higher than that of FCM algorithm.In addition,the reliability of judging traffic operat-ing state under three-dimensional traffic parameters is the highest.
highwaytraffic operation status evaluationcluster analysiskernel functiongenetic algorithm
万方数据
维普
