A novel road network change detection algorithm based on floating car tracking data

被引：0
|
作者：
Weidong Fang
Rong Hu
Xiang Xu
Ye Xia
Mao-Hsiung Hung
机构：
[1] Fujian University of Technology,School of Information Science and Engineering
[2] Fujian University of Technology,College of Ecological Environment and Urban Construction
来源：
Telecommunication Systems | 2020年 / 75卷
关键词：
Road network detection; Floating car tracking; Car driving trajectory;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Road network changes constantly and rapidly. Traditional road network change detection methods cannot meet the needs of modern applications. This paper proposes a novel detection algorithm that uses the floating car tracking data to detect the changes of road network in real-time. With this novel algorithm, an experiment was carried out by adapting the trajectories derived from floating car data with actual date, to generate a part of the current road network of Fuzhou City. The experiment results show that the algorithm has well feasibility and achieves the better quality road network.
引用
收藏
页码：161 / 167
页数：6
相关论文
共 50 条
  • [1] A novel road network change detection algorithm based on floating car tracking data
    Fang, Weidong
    Hu, Rong
    Xu, Xiang
    Xia, Ye
    Hung, Mao-Hsiung
    [J]. TELECOMMUNICATION SYSTEMS, 2020, 75 (02) : 161 - 167
  • [2] A novel method for road network mining from floating car data
    Guo, Yuan
    Li, Bijun
    Lu, Zhi
    Zhou, Jian
    [J]. GEO-SPATIAL INFORMATION SCIENCE, 2022, 25 (02) : 197 - 211
  • [3] A novel clustering algorithm of extracting road network from low-frequency floating car data
    Ke Zheng
    Dunyao Zhu
    [J]. Cluster Computing, 2019, 22 : 12659 - 12668
  • [4] A novel clustering algorithm of extracting road network from low-frequency floating car data
    Zheng, Ke
    Zhu, Dunyao
    [J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 5): : 12659 - 12668
  • [5] A NEW METHOD OF ROAD NETWORK UPDATING BASED ON FLOATING CAR DATA
    Zhao, Yue
    Liu, Jian
    Chen, Runqiang
    Li, Jun
    Xie, Chao
    Niu, Wenjiang
    Geng, Danyang
    Qin, Qiming
    [J]. 2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 1878 - 1881
  • [6] The Research of Road Traffic Based on Floating Car Data
    Zhang, Junyou
    Jian, Meng
    Tang, Rui
    [J]. ADVANCED RESEARCH ON ELECTRONIC COMMERCE, WEB APPLICATION, AND COMMUNICATION, PT 2, 2011, 144 : 104 - 108
  • [7] Traffic state detection with floating car data in road networks
    Kerner, BS
    Demir, C
    Herrtwich, RG
    Klenov, SL
    Rehborn, H
    Aleksic, M
    Haug, A
    [J]. 2005 IEEE Intelligent Transportation Systems Conference (ITSC), 2005, : 700 - 705
  • [8] A novel method for the detection of road intersections and traffic rules using big floating car data
    Hu, Rong
    Xu, Yong
    Chen, Hanlin
    Zou, Fumin
    [J]. IET INTELLIGENT TRANSPORT SYSTEMS, 2022, 16 (08) : 983 - 997
  • [9] ROAD NETWORK GENERALIZATION BASED ON FLOAT CAR TRACKING
    Zhou, Cheng
    Li, Wenjing
    Jia, Hongguo
    [J]. XXIII ISPRS CONGRESS, COMMISSION IV, 2016, 41 (B4): : 71 - 77
  • [10] Computation and matching of road segment velocity with floating car data and its web publication based on spatial road network
    Fan Yeming
    Liu Chun
    [J]. GEOINFORMATICS 2006: GNSS AND INTEGRATED GEOSPATIAL APPLICATIONS, 2006, 6418
12345