Traffic Flow Visualization

Traffic Flow Visualization is a computational method within transportation network visualization that specifically represents the movement patterns, volumes, and dynamics of vehicles or pedestrians over time and space to reveal spatiotemporal traffic behaviors and congestion characteristics.

126

Publications

5.6K

Citations

382

Authors

167

Institutions

Publications per year

2017–2026

35

Authors

382

  1. HQ
    Huamin Qu

    Hong Kong University of Science and Technology, Hong Kong SAR China

    5 publications · 501 citations

    5

    h-index

  2. WY
    William Yurcik

    University of Illinois Urbana-Champaign, United States

    3 publications · 252 citations

    3

    h-index

  3. XY
    Xiaoru Yuan

    Peking University, China

    3 publications · 328 citations

    3

    h-index

  4. GA
    Gennady Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    3 publications · 79 citations

    3

    h-index

  5. ML
    Michael L. Pack

    University of Maryland, College Park, United States

    3 publications · 59 citations

    3

    h-index

1–5 of 382

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 8 publications · 595 citations

    8

    h-index

  2. Journal of Visualization

    4 publications · 72 citations

    4

    h-index

  3. 4

    h-index

  4. 4

    h-index

  5. IEEE Computer Graphics and Applications

    4 publications · 117 citations

    4

    h-index

1–5