[1]宋冬冬,王 楠,田树耀,等.基于聚类算法的车辆数据挖掘及可视化研究[J].计算机技术与发展,2020,30(10):204-209.[doi:10. 3969 / j. issn. 1673-629X. 2020. 10. 036]
　SONG Dong-dong,WANG Nan,TIAN Shu-yao,et al.Research on Vehicle Data Mining and Visualization Based on Clustering Algorithm[J].,2020,30(10):204-209.[doi:10. 3969 / j. issn. 1673-629X. 2020. 10. 036]
点击复制

基于聚类算法的车辆数据挖掘及可视化研究()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
30
期数:
2020年10期
页码:
204-209
栏目:
应用开发研究
出版日期:
2020-10-10

文章信息/Info

Title:
Research on Vehicle Data Mining and Visualization Based on Clustering Algorithm
文章编号:
1673-629X(2020)10-0204-06
作者:
宋冬冬1 ; 王 楠2 ; 田树耀1 ; 刘付勇2
1. 河北科技师范学院 机电工程学院,河北 秦皇岛 066004; 2. 秦皇岛九然清洁能源科技有限公司,河北 秦皇岛 066004
Author(s):
SONG Dong-dong 1 ; WANG Nan 2 ; TIAN Shu-yao 1 ; LIU Fu-yong 2
1. School of Mechanical and Electrical Engineering,Hebei Normal University of Science & Technology,Qinhuangdao 066004,China; 2. Qinhuangdao Jiuran Clean Energy Technology Co. ,Ltd. ,Qinhuangdao 066004,China
关键词:
公路运输; 车联网; 聚类算法; 数据挖掘; 数据通信; 车况数据
Keywords:
highway transportation; internet of vehicles; clustering algorithm; data mining; data communication; vehicle condition data
分类号:
U495;TP391
DOI:
10. 3969 / j. issn. 1673-629X. 2020. 10. 036
文献标志码:
A
摘要:
车辆运行工况决定了承载人员的生命安全,影响了整车工作效率,同时也是分析驾驶人员行为及构建 UBI 保险业 务的数据基础。 基于车联网技术,为构建车辆及周边环境的评价系统,以50 辆不同型号私家车作为研究对象,在固定路段 及时间段内,利用车载 OBD 终端采样车辆行驶数据。 对各车辆的行驶速度、进气量、瞬时油耗、发动机转速等运行数据进 行汇总与清洗,利用 k-means 聚类算法对样本数据进行了分布计算,并通过最小二乘拟合获得发动机各数据间运行曲线, 与理论模型相一致,实现对车、人、路况的客观评价。 进一步开发了车辆数据信息管理系统平台,经 TCP/ IP 协议获取车载 终端 GPS 数据,实现了行驶轨迹及车况数据的动态显示,方便了对车辆的跟踪与查询。 该研究工作可为构建驾驶行为及 UBI 保险营销模型提供理论依据,同时为车联网的功能完善提供参考。
Abstract:
The operating condition of the vehicle determines the life safety of the carrying personnel,affect the work efficiency of the vehicle,and serve as the data basis for analyzing the behavior of the driving personnel and constructing UBI insurance business.Based on the Internet of vehicles techno-logy,? in order to construct the evaluation system of vehicles and surrounding environment,fifty private cars of the different model are taken as research objects, and vehicle condition data obtained from vehicle OBD terminal are sampled in selected road sections and fixed periods. We summarize and clean the driving speed,air intake,instantaneous fuel consumption,engine speed and other operation data of each vehicle,use the? k-means clustering algorithm to calculate the distribution of sample data and the least square fitting to obtain the running curve between the engine data,which is consistent with the theoretical model,so as to realize the evaluation of vehicle,human and road conditions. Furthermore,the upper computer platform of vehicle information management system is developed,and the vehicle terminal GPS positioning is obtained through TCP / IP protocol to realize the dynamic display of vehicle trajectory and vehicle condition data,which facilitates the tracking and query of vehicles. This study can provide theoretical basis for the construction of driving behavior and UBI insurance marketing model,as well as provide reference for the improvement of functions of Internet of vehicles.

相似文献/References:

[1]王建强 李世威 曾俊伟.车联网发展模式探析[J].计算机技术与发展,2011,(12):235.
　WANG Jian-qiang,LI Shi-wei,ZENG Jun-wei.Analysis of Development Model of Internet of Vehicles[J].,2011,(10):235.
[2]于明鹭,刘南杰,赵海涛,等. 基于车联网的智能打车系统[J].计算机技术与发展,2016,26(02):118.
　YU Ming-lu,LIU Nan-jie,ZHAO Hai-tao,et al. Intelligent Taxi Service System Based on Internet of Vehicle[J].,2016,26(10):118.
[3]庞立君,廖春伟,黄波,等. 基于GID的车联网数据安全方案[J].计算机技术与发展,2016,26(04):101.
　PANG Li-jun,LIAO Chun-wei,HUANG Bo,et al. Data Security Scheme of IOV Based on GID[J].,2016,26(10):101.
[4]杨济瑞,赵海涛,刘南杰. 改进的三次指数平滑法及其在车联网中的应用[J].计算机技术与发展,2016,26(11):164.
　YANG Ji-rui,ZHAO Hai-tao,LIU Nan-jie. Modified Cubic Exponential Smoothing Algorithm and Its Application on IoV[J].,2016,26(10):164.
[5]韩家群,刘南杰,黄波,等. 基于车联网大数据的UBI系统研究[J].计算机技术与发展,2016,26(12):26.
　HAN Jia-qun,LIU Nan-jie,HUANG Bo,et al. Research on UBI System Based on Big Data in IOV[J].,2016,26(10):26.
[6]黄姝娟,肖 锋*,曹子建.智能小车联网组队方法的设计与实现[J].计算机技术与发展,2021,31(04):170.[doi:10. 3969 / j. issn. 1673-629X. 2021. 04. 029]
　HUANG Shu-juan,XIAO Feng*,CAO Zi-jian.Design and Implementation of Formation Method for Intelligent Vehicles[J].,2021,31(10):170.[doi:10. 3969 / j. issn. 1673-629X. 2021. 04. 029]
[7]鲁 欢,郭永安,陈春玲.基于 NDN 的区分调度提升树转发策略研究[J].计算机技术与发展,2021,31(06):101.[doi:10. 3969 / j. issn. 1673-629X. 2021. 06. 018]
　LU Huan,GUO Yong-an,CHEN Chun-ling.Research on Diffserv Dispatch Boosting Decision Tree ForwardingStrategy Based on NDN[J].,2021,31(10):101.[doi:10. 3969 / j. issn. 1673-629X. 2021. 06. 018]
[8]王润民,卢 涛,宋晓鹏,等.不可靠通信条件下的 CACC 纵向控制仿真分析[J].计算机技术与发展,2021,31(07):152.[doi:10. 3969 / j. issn. 1673-629X. 2021. 07. 025]
　WANG Run-min,LU Tao,SONG Xiao-peng,et al.Simulation Analysis of Longitudinal Control of CACC underUnreliable Communication[J].,2021,31(10):152.[doi:10. 3969 / j. issn. 1673-629X. 2021. 07. 025]
[9]沈大港,范鹏飞,周慧娟,等.面向车联网基于边缘计算的点对点信息传输[J].计算机技术与发展,2021,31(08):139.[doi:10. 3969 / j. issn. 1673-629X. 2021. 08. 024]
　SHEN Da-gang,FAN Peng-fei,ZHOU Hui-juan,et al.Point-to-point Information Communication Based on Edge Computing for Internet of Vehicle[J].,2021,31(10):139.[doi:10. 3969 / j. issn. 1673-629X. 2021. 08. 024]
[10]卢 涛,万凌峰,李 妍,等.基于 V2X 的智能网联交叉口信号控制系统设计[J].计算机技术与发展,2021,31(10):161.[doi:10. 3969 / j. issn. 1673-629X. 2021. 10. 027]
　LU Tao,WAN Ling-feng,LI Yan,et al.Design of Intelligent Signal Control System of Intersections Based on V2X[J].,2021,31(10):161.[doi:10. 3969 / j. issn. 1673-629X. 2021. 10. 027]

更新日期/Last Update: 2020-10-10