Data Mining in Traffic Flow Analysis of City Tunnel

被引：0
|
作者：
Ma, Chengqian [1 ]
Yuan, Jingling [1 ]
Zhong, Luo [1 ]
Yue, Xi [1 ]
机构：
[1] Wuhan Univ Technol, Comp Sci & Technol Sch, Wuhan 430070, Peoples R China
来源：
FIRST INTERNATIONAL WORKSHOP ON DATABASE TECHNOLOGY AND APPLICATIONS, PROCEEDINGS | 2009年
关键词：
data minning; traffic flow; clustering analysis; analysis Services;
D O I：
10.1109/DBTA.2009.59
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The elementary theories and methods of data mining technology is introduced, and specifically applied the data mining technology to the Uprising Square Tunnel traffic flow in the city of Wuhan. Using the clustering analysis tools provided by SQL SERVER 2000, we first carry on the clean to the primary data, and then set up a data mining model, finally carry on the analysis to the result to obtain some traffic characteristics of the tunnel. This information not only helps the tunnel administrative personnel to manage the tunnel more effectively, but also facilitate driving personnel's going on a journey.
引用
收藏
页码：199 / 201
页数：3
相关论文
共 50 条
  • [41] Data mining network traffic
    Lee, Ian W. C.
    Fapojuwo, Abraham O.
    [J]. 2006 CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-5, 2006, : 170 - +
  • [42] Data mining for traffic information
    Clague, Michael J.
    Urbe, Sylvie
    [J]. TRAFFIC, 2020, 21 (01) : 162 - 168
  • [43] A Hybrid Algorithm of Traffic Accident Data Mining on Cause Analysis
    Xi, Jianfeng
    Gao, Zhenhai
    Niu, Shifeng
    Ding, Tongqiang
    Ning, Guobao
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2013, 2013
  • [44] Data mining meets Network Analysis: Traffic Prediction Models
    Eterovic, Teo
    Mrdovic, Sasa
    Donko, Dzenana
    Juric, Zeljko
    [J]. 2014 37TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2014, : 1479 - 1484
  • [45] Data Mining and Complex Network Algorithms for Traffic Accident Analysis
    Lin, Lei
    Wang, Qian
    Sadek, Adel W.
    [J]. TRANSPORTATION RESEARCH RECORD, 2014, (2460) : 128 - 136
  • [46] ACO based spatial Data Mining for Traffic Risk Analysis
    Ravikumar, K.
    Gnanabaskaran, A.
    [J]. 2010 INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING TECHNOLOGIES (ICICT), 2010,
  • [47] Dynamic traffic prediction based on traffic flow mining
    Wang, Yaqin
    Chen, Yue
    Qin, Minggui
    Zhu, Yangyong
    [J]. WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 6078 - +
  • [48] Spatiotemporal Traffic Flow Forecasting for PHETs Based on Data Mining and Deep Learning
    Luo, Xiangzhou
    Qing, Xushan
    Chen, Huimiao
    [J]. 2019 IEEE 19TH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT 2019), 2019,
  • [49] Fuzzy-statistic method of data mining and its application to traffic flow
    Xiong, Hejin
    [J]. Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering), 2001, 25 (04):
  • [50] ARCHITECTURE FOR APPLYING DATA MINING AND VISUALIZATION ON NETWORK FLOW FOR BOTNET TRAFFIC DETECTION
    Shahrestani, Alireza
    Feily, Maryam
    Ahmad, Rodina
    Ramadass, Sureswaran
    [J]. PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTER TECHNOLOGY AND DEVELOPMENT, VOL 1, 2009, : 33 - +
12345