基于聚类算法的货运车辆整备质量研究  

Research on Freight Vehicle Curb Weight Based on Clustering Algorithm

作　　者：史星云 杨晨 曹诗曼 史纪亮 杨召鹏 SHI Xingyun;YANG Chen;CAO Shiman;SHI Jiliang;YANG Zhaopeng(School of Mechanics and Transportation,Southwest Forestry University,Kunming Yunnan 650224,China;North Jiangsu Branch of National Pipeline Network West-East Gas Pipeline,Yangzhou Jiangsu 225000,China;SMIC North Integrated Circidt Manufacturing(Beijing)Co.,Ltd.,Beijing 100176,China)

机构地区：[1]西南林业大学机械与交通学院,云南昆明650224 [2]国家管网西气东输苏北分公司,江苏扬州225000 [3]中芯北方集成电路制造(北京)有限公司,北京100176

出　　处：《信息与电脑》2022年第22期115-117,122,共4页Information & Computer

摘　　要：货运量是研究货运行为的重要指标,因此文章应用计算机技术提取了货车的属性数据,设计了基于Jenks联合K-means聚类算法的货车整备质量研究方法。实验结果表明,整备质量与总质量的相关系数为0.985,总质量称重范围为1575~2290 kg、2290~3975 kg、3975~4495 kg的轻型货车的整备质量特征平均值分别为1545 kg、1780 kg、2600 kg。研究结果可用于提升货运量统计和货运需求预测精确度。Freight volume is an important index to study freight behavior.Using computer technology to extract truck attribute data,a freight vehicle curb weight research method based on Jenks combined K-means clustering algorithm is designed.The results show that:The correlation coefficient between the vehicle curb weight and the gross weight is 0.985.The characteristic values of the curb weight of the light truck weighing 1575~2290 kg,2290~3975 kg and 3975~4495 kg are estimated to be 1545 kg,1780 kg and 2600 kg,respectively.The research results can be used to improve the accuracy of freight volume statistics and freight demand forecast.

关 键 词：聚类分析 公路运输 整备质量 轻型货车 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]