基于车联网数据挖掘的运输车辆安全驾行为模型研究.pdf

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 Researchon Safe Driving Behavior ModelofTransportation VehiclesBased on Internet of VehiclesDataMining Abstract Effective supervision of drivers has always been a top priority in transportation industry management. Inrecentyears,withtheriseoftheexpressdeliverybusiness,theproduction scaleofthetransportationindustryhasbeengreatlyexpanded,andwiththedevelopmentof new technologies such as the Internet of Things, the use of on-board monitors to monitor the behavior of drivers has gradually become the mainstream. This article uses the vehicle driving information provided by the on-board monitors of 450 freight cars of an enterprise tobuildamodeltodeterminewhetherthedrivingbehaviorofthedriverisdangerous. The specificstepsareasfollows: First,brieflydescribetheinformationrecordedbythecarmonitor. Secondly,itisextracted from the original data through feature engineering: rapid acceleration and deceleration per 100kilometers,sharpturnsper100kilometers,idlespeedratio,whethertherearedangerous driving characteristics of fatigue driving, and scores according to different characteristics and distribution in