基于信息熵的自適應(yīng)多分類器交通數(shù)據(jù)插值模型

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中圖分類號：TP391.7 文獻(xiàn)標(biāo)識碼：A DOI：10.7535/hbkd.2025yx03002

Adaptive multi classifier traffic data interpolation model based on information entropy

ZHANG Yunkai12， 1，2 ， 1，2， （1.Hebei University Road Traffic Perception and Intellgent Application Technology Researchand Develop Center. Shijiazhuang，Hebei O50035，China； 2.Department of Electrical and Information Engineering，Hebei Jiaotong Vocational and Technical College， Shijiazhuang，Hebei O50035，China； 3.School of Artificial Intelligence and Data Science，Hebei University of Technology， Tianjin 300131，China）

Abstract：Toaddress theisse that single traficdata misingvalue imputation modelscannotcomprehensively handle the multi-sourceheterogeneityandcomplexdata volumeof trafficdata，amulti-clasifierimputation modelbasedonadaptive weighting determined by informationentropywas proposed.First，information entropyrepresenting "disorder degree"was introduced toevaluate predictionqualityanddeterminemulti-clasifierweights.Second，adynamicadaptive weightingmethod was designedtoresolve theproblemof differentclassfiers being suitableforvarious samples caused bydeviceheterogeneity. Finall，validationwasconductedonbothpublicandself-collcteddatasets.Theresultsdemonstratethattheproposedmodel achieves significant improvementindetection performancecompared withotherimputation models.Italsoatains highacuracy in experiments on the public Interstate Highway Trafic Flow Dataset，with an F1 of O.778 and a 10% improvement in RMSE，exhibiting strong generalizability.By enabling weights toadaptively evolve withdata streams basedon information entropydetermination，thealgorithmachieves faster detectionspeedand higher accuracy，providing technical references for the establishment of missing value imputation models in traffic data cleaning.

Keywords： data processing；traffc data cleaning;； mising value prediction; information entropy;adaptive weight

隨著智慧高速公路的不斷發(fā)展，高速公路部署了眾多終端監(jiān)測設(shè)備來采集種類繁多的數(shù)據(jù)，如道路數(shù)據(jù)、車輛數(shù)據(jù)、氣象數(shù)據(jù)等。（剩余11618字）