Citywide Traffic Analysis Based on the Combination of Visual and Analytic Approaches

被引:0
|
作者
Feng Liu
Gennady Andrienko
Natalia Andrienko
Siming Chen
Davy Janssens
Geert Wets
Yannis Theodoridis
机构
[1] Hasselt University,Transportation Research Institute (IMOB)
[2] Fraunhofer Institute IAIS - Intelligent Analysis and Information Systems,undefined
[3] University Piraeus,undefined
来源
Journal of Geovisualization and Spatial Analysis | 2020年 / 4卷
关键词
Visual analytical approaches; Traffic conditions; Travel patterns; Congestion; GPS data;
D O I
暂无
中图分类号
学科分类号
摘要
A method for citywide traffic analysis is introduced based on the combination of visual and analytical approaches. Large volumes of GPS data collected from urban vehicles are utilized. In the method, a traffic condition map is constructed, composed of five different layers featuring traffic conditions, road linkage, travel patterns, congestion zones, and traffic flows, respectively. Based on the map, specific transport situations surrounding the congested areas are examined and ways of reducing congestion are suggested. The method is evaluated in the aggregated metropolitan area of Athens and Piraeus in Greece, and the potential and the effectiveness of this technique in analysing traffic are demonstrated. With more and more urban vehicles being equipped with GPS devices, the method can be easily transferable to other regions, paving the way for the adoption of the approach for an up-to-date, spatial-temporal sensitive, visual and analytic method for traffic monitoring that supports the establishment of a more sustainable urban transportation system.
引用
收藏
相关论文
共 50 条
  • [21] An Analysis Method of Traffic Scene Based on Selective Visual Attention
    Wu, You-fu
    Wang, Xue-ling
    Wu, Jing
    2015 INTERNATIONAL CONFERENCE ON MATERIALS AND ENGINEERING AND INDUSTRIAL APPLICATIONS (MEIA 2015), 2015, : 300 - 304
  • [22] A Fuzzy-based Convolutional LSTM Network Approach for Citywide Traffic Flow Prediction
    Yu, Huiyun
    Zheng, Qi
    Qian, Shuyun
    Zhang, Yaying
    2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2022, : 3360 - 3367
  • [23] STVANet: A spatio-temporal visual attention framework with large kernel attention mechanism for citywide traffic dynamics prediction
    Yang, Hongtai
    Jiang, Junbo
    Zhao, Zhan
    Pan, Renbin
    Tao, Siyu
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 254
  • [24] Analytic approaches for the combination of autonomic and neural activity in the assessment of physiological synchrony
    Stuldreher, Ivo V.
    de Winter, Joost C. F.
    Thammasan, Nattapong
    Brouwer, Anne-Marie
    2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), 2019, : 4143 - 4148
  • [25] Visual analysis of traffic data based on topic modeling (ChinaVis 2017)
    Ying Tang
    Fengfan Sheng
    Hongxin Zhang
    Chaojie Shi
    Xujia Qin
    Jing Fan
    Journal of Visualization, 2018, 21 : 661 - 680
  • [26] BVis: urban traffic visual analysis based on bus sparse trajectories
    Wenqi Pei
    Yadong Wu
    Song Wang
    Lili Xiao
    Hongyu Jiang
    Abdul Qayoom
    Journal of Visualization, 2018, 21 : 873 - 883
  • [27] BVis: urban traffic visual analysis based on bus sparse trajectories
    Pei, Wenqi
    Wu, Yadong
    Wang, Song
    Xiao, Lili
    Jiang, Hongyu
    Qayoom, Abdul
    JOURNAL OF VISUALIZATION, 2018, 21 (05) : 873 - 883
  • [28] Interactive Web-Based Visual Analysis on Network Traffic Data
    Jeong, Dong Hyun
    Cho, Jin-Hee
    Chen, Feng
    Kaplan, Lance
    Josang, Audun
    Ji, Soo-Yeon
    INFORMATION, 2023, 14 (01)
  • [29] Visual analysis of traffic data based on topic modeling (ChinaVis 2017)
    Tang, Ying
    Sheng, Fengfan
    Zhang, Hongxin
    Shi, Chaojie
    Qin, Xujia
    Fan, Jing
    JOURNAL OF VISUALIZATION, 2018, 21 (04) : 661 - 680
  • [30] 20/20 ANALYSIS - A CITYWIDE COMPUTER-BASED APPLICATION
    HEISTAD, DJ
    REYNOLDS, MC
    EDUCATION AND URBAN SOCIETY, 1995, 27 (04) : 396 - 410