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基于车联网数据挖掘的运输车辆安全驾 驶行为模型研究 数 161203105394 · 2020 的基于车联网数据挖掘的运输车 辆安全驾驶行为模型研究的研究 的的 的数据 2020 基于车联网数据挖掘的运输车辆安全驾驶行为模型研究 驾驶的运输行的 的运输行的模联网的 车驾驶的行为为450辆运 车的车的车辆驾驶模型驾驶的驾车行为行 驾驶行为的 车的数据挖掘 驾驶的驾 驶据的数的为 驾驶行为 450辆车31辆车驾驶行为31辆车 驾驶行行车 的驾驶行为 安全驾驶数据挖掘运输车辆 2020 ResearchonSafeDrivingBehaviorModelofTransportation VehiclesBasedonInternetofVehiclesDataMining Abstract Effectivesupervisionofdrivershasalwaysbeenatoppriorityintransportationindustry management.Inrecentyears,withtheriseoftheexpressdeliverybusiness,theproduction scaleofthetransportationindustryhasbeengreatlyexpanded,andwiththedevelopmentof newtechnologiessuchastheInternetofThings,theuseofon-boardmonitorstomonitor thebehaviorofdrivershasgraduallybecomethemainstream.Thisarticleusesthevehicle drivinginformationprovidedbytheon-boardmonitorsof450freightcarsofanenterprise tobuildamodeltodeterminewhetherthedrivingbehaviorofthedriverisdangerous.The specificstepsareasfollows: First,brieflydescribetheinformationrecordedbythecarmonitor.Secondly,itisextracted fromtheoriginaldatathroughfeatureengineering:rapidaccelerationanddecelerationper 100kilometers,sharpturnsper100kilometers,idlespeedratio,whethertherearedangerous drivingcharacteristicsoffatiguedriving,andscoresaccordingtodifferentcharacteristics anddistributioninthecharacteristicsIfthescorethresholdisexceeded,dangerousdriving behaviorisconsidered. Theresultsshowedthat31ofthe450vehicleshaddangerousdrivingbehaviors.Theen- terprisecanconductafollow-upinvestigationonthe31vehiclesandtheirdriverstochec